Cfp December 2013

cfp@alice.wu.ac.at

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Fwd: [AISWorld] CFP for SI on Social Media Systems and Services: The International Journal of Systems and Service-Oriented Engineering (IJSSOE)
by Gustaf Neumann 05 Dec '13

05 Dec '13

-------- Original-Nachricht -------- Betreff: [AISWorld] CFP for SI on Social Media Systems and Services: The International Journal of Systems and Service-Oriented Engineering (IJSSOE) Datum: Thu, 5 Dec 2013 18:15:05 +1000 Von: Kevin Ho <kevin.kai.wing.ho(a)gmail.com> An: aisworld(a)lists.aisnet.org Kopie (CC): Eric See-To <eric.see-to(a)polyu.edu.hk> ***** CALL FOR PAPERS ***** SUBMISSION DUE DATE: *February 5, 2014* SPECIAL ISSUE ON *Social Media Systems and Services* *The International Journal of Systems and Service-Oriented Engineering (IJSSOE)* Guest Editors: *Dr. Kevin K.W. Ho, University of Guam, USA Dr. Eric W.K. See-To, Hong Kong Polytechnic University, Hong Kong* For all questions about this SI, please directly contact Dr. Kevin K.W. Ho (kevin.kai.wing.ho(a)gmail.com <mailto:kevin.kai.wing.ho@gmail.com>) or Dr. Eric W.K. See-To (eric.see-to(a)polyu.edu.hk <mailto:eric.see-to@polyu.edu.hk>) Editor-in-chief: *Dr. Dickson K.W. Chiu, University of Hong Kong, Hong Kong* Social media, including but not limited to Web 2.0 applications such as blogs, social network sites (e.g., Facebook and Google+), content communities (e.g., Youtube, Wikipedia), online Forums, is affecting everyone?s life. Nowadays, people are not only using these applications for communicating with their friends and love ones, but also for entertainment, information search, and sharing of opinions. At the same time, business enterprises and government agencies also use social media for engaging with their consumers and citizens, and hoping for creating business opportunities and enlisting their supports, respectively. As a result, there is an imminent need for all the stakeholders, including both private and public organizations, members of the public, academics, and practitioners to gain a better understanding on this new form of communication tool. To investigate into the impact of social media to the society, and in particular, on the development of social media systems and services, we now call for research related various aspects of social media. We intentionally seeks scientists, engineers, educators, solution developers, policy makers, management, analysts, and others who have insight, vision, and understanding of the big challenges in the development of Social Media Systems and Services. In particular, we are interested in interdisciplinary research, which synthesizes theories and models from communication, computer science, economics, information systems, marketing, psychology, and service sciences. This special issue also aims at helping in communicating and disseminating relevant recent research across disciplines, cultures, and communities. Topics include but not limited to: * Principles, theories, models, challenges, legal, and social issues of social media * Psychological and personality-based studies of social media * The role of social media in business, for both small and medium enterprises and major companies, in the context of E-business and E-service * Social media research based on theories in customer relationship management and consumer behavior * Information search, collaborative filtering, and personalization in social media * New social media application development * The role of social media in politics and social activism * Law enforcement issues related to social media * The impact of social media on E-learning * The role of social media in service science * Social network analysis * Trust and reputation issues in social media * Measuring predictability of real world phenomena based on social media Schedule: * Deadline for submission: February 5, 2014 * Notification of acceptance: March 1, 2014 * Deadline for revised paper: March 30, 2014 Submission Instructions: Manuscripts must be submitted electronically in Microsoft Word format, using APA citation styles. Please note that publications of IGI Global do not use section numbers. Manuscripts should follow the IGI guides (http://www.igi-global.com/authorseditors.aspx). The submission website is as follows: http://www.easychair.org/conferences/?conf=ijssoe2010 Please choose the track ?Special Issue on Social Media Systems and Services? for this special issue. All manuscripts must not have been previously published or currently submitted for journal publication elsewhere. Conference and workshop papers should have at least 30% extension and / or differences from the preliminary publication. ABOUT THE JOURNAL: *The International Journal of Systems and Service-Oriented Engineering *(IJSSOE) (http://www.igi-global.com/journals/details.asp?id=34268) is an official publication of Information Resources Management Association and published by IGI Global. It brings together researchers from various fields, enriches their knowledge in related disciplines, and stimulates advancements in innovative findings and practices. Targeting theoreticians, educators, developers, researchers, practitioners, and professionals, this journal covers the challenges of system theories, model driven software engineering, and ontologies for software engineering into a systematic method for engineering service oriented systems. IJSSOE is included in the following indices: * ACM Digital Library * Bacon?s Media Directory * Cabell?s Directories * DBLP * Google Scholar * INSPEC * JournalTOCs * MediaFinder * The Standard Periodical Directory * Ulrich?s Periodicals Directory

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Fwd: [AISWorld] CfP: 2nd Workshop on 'Standardisation Management'
by Gustaf Neumann 04 Dec '13

04 Dec '13

-------- Original-Nachricht -------- Betreff: [AISWorld] CfP: 2nd Workshop on 'Standardisation Management' Datum: Wed, 4 Dec 2013 06:27:46 +0100 Von: Kai Jakobs <kai.jakobs(a)comsys.rwth-aachen.de> Organisation: RWTH Aachen University An: AISWorld <aisworld(a)lists.aisnet.org> *****with apologies for cross-posting******** Call for Papers 2nd Workshop on 'Standardisation Management' http://www.comsys.rwth-aachen.de/team/kai-jakobs/ws-standardisation- management/ws-standardisation-management-copy-1/ 24 March 2014 Ecole des Mines Albi-Carmaux, France In conjunction with the I-ESA'12 conference (Interoperability for Enterprise Systems and Applications) http://www.aidima.es/iesa2012/index.htm Objective of the Workshop ------------------------- The WS aims to address aspects relating to the management of standardisation. That is, it will look at managerial issues of corporate standardisation as well as at standards management in the public sector. Accordingly, the main objective is to contribute to the identification of best-practices in organisational standardisation management. Corporate standardisation management also entails the selection of the most appropriate standards bodies. Thus, a secondary objective is to identify the criteria upon which this selection is based. This, in turn, will (hopefully) contribute to a more effective and efficient standardisation landscape. Topics Covered (this is a non-exclusive list) - approaches to corporate standardisation management in the public and the private sector; - corporate standardisation strategies; - intra-organisational flow of information about standardisation; - the individual in standards setting ? selection, training, motivation; - new ways of co-operation between standards bodies; - potential new standardisation landscapes. Submission Guidelines --------------------- Original (unpublished) papers not exceeding 6 pages are solicited. Formatting guidelines may be found at http://2014.i-esa.org/I-ESA14Template.zip. All papers will undergo a double blind peer-review process. Accepted papers will be included in the workshop proceedings, to be published by ISTE Publications, UK. Outstanding papers will be considered for inclusion in the International Journal on IT Standards and Standardization Research (JITSR). All submissions (in .doc/.docx/.rtf/.pdf format) should be sent to: Kai.Jakobs(a)comsys.rwth-aachen.de Deadlines ---------- Submissions due: 20 December 2013 Notification: 30 January 2014 Final papers due: 1 March 2014 Programme Committee ------------------- Kai Jakobs (Chair), RWTH Aachen U., DE Knut Blind, FhG FOKUS, DE & RSM, NL Tineke Egyedi, TU Delft, NL Vladislav Fomin, Vytautas Magnus U., LT Stephan Gauch, TU Berlin, DE Ian Graham, U. of Edinburgh, UK Klaus Turowski, U. of Magdeburg, DE Henk de Vries, Erasmus U., NL Tim Weitzel, U. of Bamberg, DE Robin Williams (tbc), U. of Edinburgh, UK ________________________________________________________________ Kai Jakobs RWTH Aachen University Computer Science Department Informatik 4 (Communication and Distributed Systems) Ahornstr. 55, D-52074 Aachen, Germany Tel.: +49-241-80-21405 Fax: +49-241-80-22222 Kai.Jakobs(a)comsys.rwth-aachen.de <http://www.comsys.rwth-aachen.de/team/kai-jakobs/> EURAS - The European Academy for Standardization. <http://www.euras.org> The International Journal of IT Standards and Standardization Research. <http://www.igi-global.com/ijitsr> The 'Advances in Information Technology Standards and Standardization Research' book series. <http://www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=37142> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] UMAP 2014 - Final call for workshop proposals
by Gustaf Neumann 03 Dec '13

03 Dec '13

-------- Original-Nachricht -------- Betreff: [WI] UMAP 2014 - Final call for workshop proposals Datum: Tue, 3 Dec 2013 11:18:24 -0800 Von: Ben Steichen <steichen(a)cs.ubc.ca> An: steichen(a)cs.ubc.ca Apologies for cross posting. 1 week left! Ben =========================== CALL FOR WORKSHOP PROPOSALS ========================= In conjunction with the 22nd Conference on User Modelling, Adaptation and Personalization (UMAP 2014) Aalborg, Denmark, July 7-11, 2014 http://um.org/umap2014/?q=callforworkshops http://um.org/umap2014 ================================================================================= UMAP 2014 is pleased to invite proposals for workshops to be held in conjunction with the conference. The workshops provide a venue to discuss and explore emerging areas of User Modelling and Adaptive Hypermedia research with a group of like-minded researchers and practitioners from Industry and academia. We welcome proposals for half-day and full-day workshops. We encourage proposals for a wide range of workshops, including but not limited to: - Working group meetings around a specific problem or topic; such workshops may wish to ask participants to submit a white paper or position statement. - Mini-conferences on specialized topics; such workshops may have their own paper submission and review processes. - Mini-competitions or challenges around selected topics with individual or team participation. =============== PROPOSAL FORMAT =============== The workshop proposals should be PDF documents not exceeding 5 pages, submitted by email to the workshop chairs. The proposals should be organized as follows: - Workshop title and acronym - Workshop chair(s), including affiliation, email address, homepage, and experiences in organizing such events - Abstract (up to 300 words) and topics - Motivation on why the topic is of particular interest at this time - Workshop format, discussing the mix of events such as paper presentations, invited talks, panels, and general discussion - Intended audience and expected number of participants - List of (potential) members of the program committee (at least 50% have to be confirmed at the time of the proposal) - Requested duration (half day or full day) - Past versions of the workshop, including URLs as well as submission and acceptance statistics. Additionally, we strongly suggest to have organizers from different institutions, bringing different perspectives to the workshop topic. We welcome workshops with a creative structure that attracts various types of contributions and ensures rich interactions. The organizers of accepted workshops will prepare a workshop web site containing the call for papers and detailed information about the workshop organization and timeline. The organizers will be responsible for their own reviewing process, publicity, and publishing electronic proceedings (e.g., on the CEUR-WS website). They will be required to closely cooperate with the UMAP workshops chairs to finalize the above mentioned details. =============== IMPORTANT DATES =============== December 10, 2013: Workshop proposals due January 14, 2014: Decisions announced July 7 and July 11, 2014: Workshop days =============== SUGGESTED TIMELINE =============== Workshop web site: January 28, 2014 Workshop Call for Papers (suggested): February 1, 2014 Paper submission deadline: April 1, 2014 Notification to authors: May 1, 2014 ================== WORKSHOP CHAIRS ================== Rosta Farzan, University of Pittsburg, USA E-mail: rfarzan(a)pitt.edu <mailto:rfarzan@pitt.edu> Web: http://rosta-farzan.net/ Robert Jäschke, University of Hannover, Germany E-mail: jaeschke(a)l3s.de <mailto:jaeschke@l3s.de> Web: http://www.kbs.uni-hannover.de/~jaeschke/ <http://www.kbs.uni-hannover.de/%7Ejaeschke/>

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Fwd: [WI] ACM RecSys 2014 Call for Contributions
by Gustaf Neumann 03 Dec '13

03 Dec '13

-------- Original-Nachricht -------- Betreff: [WI] ACM RecSys 2014 Call for Contributions Datum: Tue, 3 Dec 2013 20:21:31 +0100 Von: Alan Said <alansaid(a)acm.org> An: bulletin13(a)aisb.org.uk, wi(a)lists.uni-karlsruhe.de, aisworld(a)lists.aisnet.org, SIGecom-Talk(a)acm.org CALL FOR CONTRIBUTIONS ACM International Conference on Recommender Systems (RecSys) 2014 Oct 6-10, 2014, Foster City, Silicon Valley, California http://recsys.acm.org/recsys14/ =============================================================== We are pleased to invite you to participate in the premier annual event on research and applications of recommendation technologies, the Eighth ACM Conference on Recommender Systems (RecSys 2014). The conference will be held from Oct 6 to 10, 2014 in Foster City, Silicon Valley, California. Previous conferences have been distinguished by a strong level of interaction between researchers and practitioners in the sharing of ideas, problems and solutions. The 2014 conference will continue and reinforce this tradition due to its location in Silicon Valley, the home of some of the world's largest technology companies and of thousands of startups. We construe recommender systems broadly, including applications ranging from e-commerce to social networking, platforms from web to mobile and beyond, and a wide variety of technologies ranging from collaborative filtering to case-based reasoning. Topics of interest for RecSys 2014 include (but are not limited to): - Algorithm scalability - Case studies of real-world implementations - Conversational recommender systems - Context-aware recommenders - Evaluation metrics and studies - Explanations and evidence - Group recommenders - Impact studies - Innovative/New applications - Machine learning for recommendation - Novel paradigms - Personalization - Preference elicitation - Privacy and Security - Recommendation algorithms - Social recommenders - User interfaces - Semantic web technologies for recommendation - Targeted advertising - Trust and reputation - Theoretical foundations - User modelling - User studies We encourage various types of submissions: TECHNICAL PAPERS - Long paper submissions should report on substantial contributions of lasting value. The maximum length is 8 pages. Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program. We expect the review process to be highly selective: the acceptance rates for full papers in the past three years were 20-24%. - Short paper submissions typically discuss exciting new work that is not yet mature enough for a long paper. The maximum length is 4 pages. Each accepted short paper will be included in the conference proceedings and presented in a poster session. The presentation may include a system demonstration. Note that rejected long paper submissions will not be automatically considered as short papers. DOCTORAL CONSORTIUM PAPERS The Doctoral Consortium will provide doctoral students with the opportunity to have substantive interaction with other researchers on their dissertation topic. It will also allow students to establish a supportive community, including other doctoral students at similar stages of their dissertation research. The maximum paper length is 4 pages. Each accepted paper will be included in the conference proceedings and presented in the doctoral consortium. WORKSHOPS The goal of the workshops is to provide additional venues for presenting research-in-progress on topics of interest and an informal forum to discuss research questions and challenges in greater depth and detail. A 2-page summary of each accepted workshop will be included in the conference proceedings. TUTORIALS The goal of the tutorials is to provide the larger conference community an opportunity to learn about recommender system concepts and techniques, and to serve as a venue to share presenters’ expertise with the global community of recommender system researchers and practitioners. A 2-page summary of each accepted tutorial will be included in the conference proceedings. DEMOS The demo session provides an exciting way for researchers and developers to present new recommender ideas, show off their work, and get valuable feedback from the recommender systems community. Demo submissions must include a narrated screen capture. A 2-page summary of each accepted demo will be included in the conference proceedings. POSTERS The poster session offers an opportunity for presenting late-breaking research results and speculative or innovative work in progress. The informal setting of the poster session encourages presenters and participants to engage in lively discussions about the presented work. A two-page summary of each accepted poster will be included in the extended proceedings of the conference. All submissions and reviews will be handled electronically in PDF format. RecSys 2014 submissions should be prepared according to the standard ACM SIG proceedings format. We provide paper templates in Microsoft Word and LaTeX on the conference website. More details on the submission procedure will be available at http://recsys.acm.org/recsys14/call/ closer to the submission deadlines. The fully-refereed proceedings will be published in the ACM Digital Library and, like past RecSys proceedings, are expected to be widely read and cited. The extended proceedings will be made available differently. =================================================== Important Dates =================================================== Long/Short Papers: - Papers due: May 7, 2014 - Acceptance notification: July 7, 2014 - Camera-ready papers due: July 24, 2014 Doctoral Consortium Papers: - Papers due: June 2, 2014 - Acceptance notification: July 7, 2014 - Camera-Ready papers due: July 24, 2014 Workshop Proposals: - Proposals due: April 7, 2014 - Acceptance notification: April 28, 2014 - Workshop papers due: July 21, 2014 - Camera-ready workshop summaries due: July 24, 2014 Tutorial Proposals: - Proposals due: May 19, 2014 - Acceptance notification: June 9, 2014 - Camera-ready tutorial summaries due: July 24, 2014 Demos: - Proposals due: May 19, 2014 - Acceptance notification: July 7, 2014 - Camera-ready demo summaries due: July 24, 2014 Posters (late-breaking contributions): - Submissions due: July 21, 2014 - Acceptance notification: August 18, 2014 - Camera-ready poster summaries due: August 29, 2014 Conference Dates: Oct. 6-10, 2014 =================================================== Questions? =================================================== More information at: http://recsys.acm.org/recsys14/ Twitter: http://twitter.com/ACMRecSys Facebook: https://www.facebook.com/acmrecsys LinkedIn group: http://www.linkedin.com/groups/ACM-RecSys-7421136 Facebook group: https://www.facebook.com/groups/recsys/ General Co-chairs (general2014*): - Alfred Kobsa, UC Irvine, USA - Michelle Zhou, IBM, USA Program Co-chairs (program2014*): - Martin Ester, Simon Fraser University, Canada - Yehuda Koren, Google, USA Workshop Co-chairs (workshops2014*): - Lior Rokach, Ben Gurion University, Israel - Badrul Sarwar, eBay, USA Tutorial Co-chairs (tutorials2014*): - Alexander Felfernig, TU Graz, Austria - Bee-Chung Chen, LinkedIn, USA Doctoral Symposium Co-chairs (doctoral2014*): - Yi Zhang, UC Santa Cruz, USA - Shlomo Berkovsky, NICTA, Australia Poster and Demo Co-chairs (posters2014*): - Li Chen, Hong Kong Baptist University, China - Jalal Mahmud, IBM Research, USA Proceedings Chair (proceedings2014*): - Bark Knijnenburg, UC Irvine, USA Publicity Co-chairs (publicity2014*): - Alan Said, CWI, The Netherlands - Tim Hussein, University of Duisburg-Essen, Germany Treasurer (treasurer2014*): - Susan Crow, IBM, USA Local Arrangements and Student Volunteer Co-chairs (local2014*): - Jian Wang, LinkedIn, USA - Susan Crow, IBM, USA *) for email address, replace ‘*’ by ‘(a)recsys.acm.xn--org-to0a -- Dr. Alan Said Information Access research group CWI - Centrum Wiskunde & Informatica Room M345, Science Park 123 P.O. Box 94079, 1090 GB Amsterdam e: alansaid(a)acm.org t: @alansaid w: www.alansaid.com -- Mailing-Liste: wi(a)aifb.uni-karlsruhe.de Administrator: wi-request(a)lists.uni-karlsruhe.de Konfiguration: https://www.lists.uni-karlsruhe.de/sympa/info/wi

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Fwd: [WI] Doktorandensymposium - Modellierung 2014
by Gustaf Neumann 03 Dec '13

03 Dec '13

-------- Original-Nachricht -------- Betreff: [WI] Doktorandensymposium - Modellierung 2014 Datum: Tue, 03 Dec 2013 15:24:22 +0100 Von: Ulrich Frank <ulrich.frank(a)uni-due.de> An: wi(a)lists.uni-karlsruhe.de Doktorandensymposium im Rahmen der Modellierung 2014 in Wien (http://www.modellierung2014.org) 19.-21.3.2014 Doktorandinnen und Doktoranden der Informatik und der Wirtschaftsinformatik sind herzlich eingeladen, den Stand ihrer Arbeit beim Doktorandensymposium im Rahmen der Modellierung 2014 einzureichen. Das Doktorandensymposium soll jungen Wissenschaftlerinnen und Wissenschaftlern die Möglichkeit geben, ihre Dissertationsvorhaben außerhalb des eigenen Umfelds zu präsentieren und so wertvolle Anregungen zu erhalten. Das Symposium richtet sich an Doktorandinnen und Doktoranden der Informatik und Wirtschaftsinformatik, die im Bereich der Modellierung arbeiten und ihre Dissertation zum Zeitpunkt der Konferenz voraussichtlich noch nicht beendet haben werden. Interessenten reichen bis zum 20.01.2014 ein maximal vierseitiges Exposé ein. Die Einreichung der Beiträge sowie die Kommunkation mit den AutorInnen erfolgt über das KonferenzSystem EasyChair. Sollten Sie Fragen zur Benutzung von EasyChair haben, wenden Sie sich bitte an info(a)modellierung2014.org. Ulrich Frank Heinrich Mayr -- Prof. Dr. *Ulrich Frank* Lehrstuhl für *Wirtschaftsinformatik und Unternehmensmodellierung* Institut für Informatik und Wirtschaftsinformatik Universität Duisburg-Essen Universitätsstr. 9 D-45141 Essen Tel.: +49(201) 183 4042 Fax: +49(201) 183 934042 e-mail: ulrich.frank(a)uni-due.de http://www.wi-inf.uni-due.de/FGFrank/

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Fwd: [WI] Last CFP: HCI Track in the 22nd European Conference on Information Systems (ECIS 2014)
by Gustaf Neumann 03 Dec '13

03 Dec '13

-------- Original-Nachricht -------- Betreff: [WI] Last CFP: HCI Track in the 22nd European Conference on Information Systems (ECIS 2014) Datum: Tue, 03 Dec 2013 11:15:57 +0100 Von: Volker Wulf <volker.wulf(a)fit.fraunhofer.de> An: Liste@fit.fraunhofer.de:Wirtschaftsinformatik <wi(a)aifb.uni-karlsruhe.de> Call for Papers ************ Human-Computer Interaction (HCI) Track European Conference on Information Systems (ECIS) 2014 9-11 June, 2014 Tel Aviv, Israel http://ecis2014.eu/ Important Dates ************* Paper Submission begins: 1 November, 2013 Call for Papers Submission Deadline Date: 8 December, 2013 Notification of acceptance: 3 March, 2014 Panel submission deadline: 5 March, 2014 Final version of accepted papers due: 30 March, 2014 Early Bird Registration closes: 16 April, 2014 AIS is the premier professional association for individuals and organizations who lead the research, teaching, practice, and study of information systems worldwide. Within the AIS community, HCI research has traditionally emphasized the interaction between humans, information, technologies, and tasks in organizational context. However, as work is becoming increasingly digitized, new work contexts are created, and digital artifacts permeate the borders between work and non-work contexts, it is time for us to expand the boundaries of phenomena studied by AIS HCI researchers. The aim of the HCI track in the 22nd European Conference on Information Systems is to provide a forum for AIS members and other HCI researchers and professionals to acknowledge each other's work, and to discuss, develop, and promote a range of issues related to the history, reference disciplines, theories, practice, methods and techniques associated with the interaction between humans, information and technology. The track is open to all types of research approaches (e.g., conceptualization, theorization, case study, action research, grounded theory, experimentation, survey, simulation and interpretive studies) to study or examine HCI-related problems and issues. Topics of Interest ************** Possible topics include, but are not limited to: • The perceptual, behavioral, cognitive, motivational, and affective/emotional aspects of humans and their interaction with IT/IS • Digitized knowledge and human information seeking behavior • User-centered/participatory/informed design and evaluation for different types of applications in a variety of contexts: - B2B, B2C, C2C e-commerce - Social and collaborative shopping in e-commerce - Computer Supported Collaborative Work - Social Media - Enterprise systems - Small-screen mobile devices and pervasive computing - Surface and gesture-based computing - Multi-dimensional information visualizations - Applications for elderly, children, young and special needs populations - Applications for home/leisure context - Open source software development or end user development context - 3D web and virtual worlds • Integrated or innovative approaches and guidelines for analysis, design, and development of interactive devices and systems • Usability engineering, metrics, and methods for user interface assessment • Evaluation of the user experience in a work or non-work environment • Information technology acceptance, diffusion, and appropriation issues from cognitive, behavioral, affective, motivational, social, cultural, and user interface design perspectives • The impact of interactive technology design on attitudes, behavior, performance, perception, and productivity • Issues in software learning and training • Cross-cultural aspects of HCI • New practices bridging interactions at work and beyond (e.g., BYOD – bring your own device) • Innovative interface ideas for human-computer interaction - Surface computing or multi-touch interaction - Kinetic and gesture based interaction - Voice and conversational interaction • Human-computer interaction and the design of services • Cognitive and affective aspects of software developers and software development teams Sponsorship ********** Best complete research papers will be invited to be fast tracked to AIS Transactions on Human-Computer Interaction (http://aisel.aisnet.org/thci/). Track Chairs ********** Torkil Clemmensen, Copenhagen Business School, Denmark, tc.itm(a)cbs.dk Noam Tractinsky, Ben-Gurion University of the Negev, Israel, noamt(a)bgu.ac.il Volker Wulf, University of Siegen and Fraunhofer FIT, Germany, volker.wulf(a)uni-siegen.de Ping Zhang, Syracuse University, USA, pzhang(a)syr.edu Associate Editors ************** Jose Abdelnour-Nocera, University of West London, U.K. Mads Bødker, Copenhagen Business School, Denmark Nina Boulus, IT University of Copenhagen, Denmark Margot Brereton, Queensland University of Technology, Australia Pedro Campos, University of Maderia, Portugal Irit Hadar, Haifa University, Israel Netta Iivari, Oulu University, Finland Joel Lanir, Haifa University, Israel Virpi Roto, Aalto University, Finland Gunnar Stevens, University of Siegen, Germany Eran Toch, Tel Aviv University, Israel Ravi Vatrapu, Copenhagen Business School, Denmark Fiona Nah, Missouri University of Science and Technology, USA Sari Kujala, Aalto University, Finland Hannakaisa Isomäki, University of Jyväskylä, Finland Susanne Mäkelä, University of Eastern Finland, Finland Chee-Wee Tan, University of Groningen, The Netherlands -- Noam Tractinsky, Information Systems Engineering Ben-Gurion University, Beer Sheva, 84105, Israel Tel. +972 (8) 647 2226, Fax +972 (8) 647 7527 http://www.bgu.ac.il/~noamt --------------------------------------------------------------- For news of CHI books, courses & software, join CHI-RESOURCES mailto: chi-resources-subscribe-request(a)listserv.acm.org To unsubscribe from CHI-ANNOUNCEMENTS send an email to mailto:chi-announcements-unsubscribe-request@listserv.acm.org For further details of CHI lists see http://listserv.acm.org --------------------------------------------------------------- -- Mailing-Liste: wi(a)aifb.uni-karlsruhe.de Administrator: wi-request(a)lists.uni-karlsruhe.de Konfiguration: https://www.lists.uni-karlsruhe.de/sympa/info/wi

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Fwd: [AISWorld] ESWC 2014 Call for Challenge: Concept-Level Sentiment Analysis [Call URL corrected]
by Gustaf Neumann 03 Dec '13

03 Dec '13

-------- Original-Nachricht -------- Betreff: [AISWorld] ESWC 2014 Call for Challenge: Concept-Level Sentiment Analysis [Call URL corrected] Datum: Tue, 3 Dec 2013 12:16:49 +0100 Von: speroni(a)cs.unibo.it An: aisworld(a)lists.aisnet.org ** apologies for cross-posting ** I apologise for sending this call again, but we have received several warnings about a typo in the call URL. Please find attached the call with the correct URL. ==== Call for Challenge: Concept-Level Sentiment Analysis ==== Challenge Website: http://challenges.2014.eswc-conferences.org/SemSA Call Web page: http://2014.eswc-conferences.org/important-dates/call-SemSA MOTIVATION AND OBJECTIVES Mining opinions and sentiments from natural language is an extremely difficult task as it involves a deep understanding of most of the explicit and implicit, regular and irregular, syntactical and semantic rules proper of a language. Existing approaches mainly rely on parts of text in which opinions and sentiments are explicitly expressed such as polarity terms, affect words and their co-occurrence frequencies. However, opinions and sentiments are often conveyed implicitly through latent semantics, which make purely syntactical approaches ineffective. To this end, concept-level sentiment analysis aims to go beyond a mere word-level analysis of text and provide novel approaches to opinion mining and sentiment analysis that allow a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Concept-level sentiment analysis focuses on a semantic analysis of text through the use of web ontologies or semantic networks, which allow the aggregation of conceptual and affective information associated with natural language opinions. By relying on large semantic knowledge bases, concept-level sentiment analysis steps away from blind use of keywords and word co-occurrence count, but rather relies on the implicit features associated with natural language concepts. This Challenge focuses on the introduction, presentation, and discussion of novel approaches to concept-level sentiment analysis. Participants will have to design a concept-level opinion-mining engine that exploits common-sense knowledge bases, e.g., SenticNet, and/or Linked Data and Semantic Web ontologies, e.g., DBPedia, to perform multi-domain sentiment analysis. The main motivation for the Challenge, in particular, is to go beyond a mere word-level analysis of natural language text and provide novel concept-level tools and techniques that allow a more efficient passage from (unstructured) natural language to (structured) machine-processable data, in potentially any domain. Systems must have a semantics flavor (e.g., by making use of Linked Data or known semantic networks within their core functionalities) and authors need to show how the introduction of semantics can be used to obtain valuable information, functionality or performance. Existing natural language processing methods or statistical approaches can be used too as long as the semantics plays a main role within the core approach (engines based merely on syntax/word-count will be excluded from the competition). TARGET AUDIENCE The Challenge is open to everyone from industry and academia. TASKS The Concept-Level Sentiment Analysis Challenge is defined in terms of different tasks. The first task is elementary whereas the others are more advanced. The input units of each task are sentences. Sentences are assumed to be in grammatically correct American English and have to be processed according to the input format specified at http://sentic.net/challenge/sentence. Elementary Task: Polarity Detection The main goal of the task is polarity detection. The proposed systems will be assessed according to precision, recall and F-measure of detected binary polarity values (1=positive; 0=negative) for each input sentence of the evaluation dataset, following the same format as in http://sentic.net/challenge/task0. The problem of subjectivity detection is not addressed within this Challenge, hence participants can assume that there will be no neutral sentences. Participants are encouraged to use the Sentic API or further develop and apply sentic computing tools. Advanced Task #1: Aspect-Based Sentiment Analysis The output of this task will be a set of aspects of the reviewed product and a binary polarity value associated to each of such aspects, in the format specified at http://sentic.net/challenge/task1. So, for example, while for the Elementary task an overall polarity (positive or negative) is expected for a review about a mobile phone, this task requires a set of aspects (such as â??speaker', â??touchscreen', â??camera', etc.) and a polarity value (positive OR negative) associated with each of such aspects. Systems will be assessed according to both aspect extraction and aspect polarity detection. Advanced Task #2: Semantic Parsing As suggested by the title, the Challenge focuses on sentiment analysis at concept-level. This means that the proposed systems are not supposed to work at word/syntax level but rather work with concepts/semantics. Hence, this task will evaluate the capability of the proposed systems to deconstruct natural language text into concepts, following the same format as in http://sentic.net/challenge/task2. SenticNet will be taken as a reference to test the efficiency of the proposed parsers, but extracted concepts won't necessary have to match SenticNet concepts. The proposed systems, for example, are supposed to be able to extract a multi-word expression like â??buy christmas present' from sentences such as â??Today I bought a lot of very nice Christmas presents'. The number of extracted concepts per sentence will be assessed through precision, recall and F-measure against the evaluation dataset. Advanced Task #3: Topic Spotting Input sentences will be about four different domains, namely: books, DVDs, electronics, and kitchen appliances. This task focuses on the automatic classification of sentences into one of such domains, in the format specified at http://sentic.net/challenge/task3. All sentences are assumed to belong to only one of the above-mentioned domains. The proposed systems are supposed to exploit the extracted concepts to infer which domain each sentence belongs to. Classification accuracy will be evaluated in terms of precision, recall and F-measure against the evaluation dataset. EVALUATION DATASET Systems will be evaluated against a testing dataset which will be revealed and released after the first-round of evaluation during the Conference. The dataset will be made public on the challenge website. Participants are suggested to train and/or test their own systems using the Blitzer Dataset. The testing dataset will be constructed in the same way and from the same sources as the Blitzer dataset. EVALUATION The evaluation will be performed by the members of the Program Committee. For systems that can be tuned with different parameters, please indicate a range of up to 4 sets of settings. Settings with the best F-measures will be considered for judgment. For each system, reviewers will give a numerical score within the range [1-10] and details motivating their choice. The scores will be given to the following aspects: 1. Use of common-sense knowledge and semantics; 2. Precision, recall, and F-measure wrt the selected task; 3. Computational time; 4. Innovative nature of the approach. JUDGING AND PRIZES After a first round of review, the Program Committee and the chairs will select a number of submissions confirming to the challenge requirements that will be invited to present their work. Submissions accepted for presentation will be included in post-proceedings and will receive constructive reviews from the Program Committee. All accepted submissions will have a slot in a poster session dedicated to the challenge. In addition, the winners will present their work in a special slot of the main program of ESWC and will be invited to submit a paper to a dedicated Semantic Web Journal special issue. For the Concept-Level Sentiment Analysis Challenge there will be two awards for each task: * Quantitative: the system with the highest average score in items 1-3 above; * Innovative: the system with the highest score in item 4 above. There will be a board of judges at the conference who will evaluate again the systems in more detail. The judges will then meet in private to discuss the entries and to determine the winners. It may happen that the same system runs for both the awards. HOW TO PARTICIPATE The following information has to be provided: * Abstract: no more than 200 words. * Description: It should contain the details of the system, including why the system is innovative, how it uses Semantic Web, which features or functions the system provides, what design choices were made and what lessons were learned. The description should also summarize how participants have addressed the evaluation tasks. Papers must be submitted in PDF format, following the style of the Springer's Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/computer/lncs/lncs+authors), and not exceeding 5 pages in length. * Web Access: The application can either be accessible via the web or downloadable. If the application is not publicly accessible, password must be provided. A short set of instructions on how to use the application should be provided as well. All submissions should be provided via EasyChair https://www.easychair.org/conferences/?conf=eswc2014-challenges Please share comments and questions with the challenge mailing list. The organizers will assist you for any potential issues that could be raised. MAILING LIST We invite the potential participants to subscribe to our mailing list in order to be kept up to date with the latest news related to the challenge. https://lists.sti2.org/mailman/listinfo/eswc2014-semsa-challenge IMPORTANT DATES * March 7, 2014, 23:59 (Hawaii time): Abstract Submission * March 14, 2014, 23:59 (Hawaii time): Submission * April 9, 2014, 23:59 (Hawaii time): Notification of acceptance * May 27-29, 2014: Challenge days CHALLENGE CHAIRS * Erik Cambria (National University of Singapore, SG) * Diego Reforgiato Recupero (CNR STLAB Laboratory, IT) PROGRAM COMMITTEE * Newton Howard (MIT Media Laboratory, US) * ChengXiang Zhai (University of Illinois at Urbana-Champaign, US) * Rada Mihalcea (University of North Texas, US) * Ping Chen (University of Houston-Downtown, US) * Yongzheng Zhang (LinkedIn Inc., US) * Giuseppe Di Fabbrizio (Amazon Inc., US) * Rui Xia (Nanjing University of Science and Technology, CN) * Rafal Rzepka (Hokkaido University, JP) * Amir Hussain (University of Stirling, UK) * Alexander Gelbukh (National Polytechnic Institute, MX) * Bjoern Schuller, (Technical University of Munich, DE) * Amitava Das (Samsung Research India, IN) * Dipankar Das (National Institute of Technology, IN) * Carlo Strapparava (Fondazione Bruno Kessler, IT) * Stefano Squartini (Marche Polytechnic University, IT) * Cristina Bosco (University of Torino, IT) * Paolo Rosso (Technical University of Valencia, ES) ESWC CHALLENGE COORDINATOR * Milan Stankovic (Sepage & Universite Paris-Sorbonne, FR)

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Fwd: [AISWorld] ESWC 2014 Call for Challenge: Concept-Level Sentiment Analysis
by Gustaf Neumann 03 Dec '13

03 Dec '13

-------- Original-Nachricht -------- Betreff: [AISWorld] ESWC 2014 Call for Challenge: Concept-Level Sentiment Analysis Datum: Tue, 3 Dec 2013 09:50:04 +0100 Von: speroni(a)cs.unibo.it An: aisworld(a)lists.aisnet.org ** apologies for cross-posting ** ==== Call for Challenge: Concept-Level Sentiment Analysis ==== Challenge Website: http://challenges.2014.eswc-conferences.org/SemSA Call Web page: http://2014.eswc-conferences.org/important-dates/call-SemSATarg MOTIVATION AND OBJECTIVES Mining opinions and sentiments from natural language is an extremely difficult task as it involves a deep understanding of most of the explicit and implicit, regular and irregular, syntactical and semantic rules proper of a language. Existing approaches mainly rely on parts of text in which opinions and sentiments are explicitly expressed such as polarity terms, affect words and their co-occurrence frequencies. However, opinions and sentiments are often conveyed implicitly through latent semantics, which make purely syntactical approaches ineffective. To this end, concept-level sentiment analysis aims to go beyond a mere word-level analysis of text and provide novel approaches to opinion mining and sentiment analysis that allow a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Concept-level sentiment analysis focuses on a semantic analysis of text through the use of web ontologies or semantic networks, which allow the aggregation of conceptual and affective information associated with natural language opinions. By relying on large semantic knowledge bases, concept-level sentiment analysis steps away from blind use of keywords and word co-occurrence count, but rather relies on the implicit features associated with natural language concepts. This Challenge focuses on the introduction, presentation, and discussion of novel approaches to concept-level sentiment analysis. Participants will have to design a concept-level opinion-mining engine that exploits common-sense knowledge bases, e.g., SenticNet, and/or Linked Data and Semantic Web ontologies, e.g., DBPedia, to perform multi-domain sentiment analysis. The main motivation for the Challenge, in particular, is to go beyond a mere word-level analysis of natural language text and provide novel concept-level tools and techniques that allow a more efficient passage from (unstructured) natural language to (structured) machine-processable data, in potentially any domain. Systems must have a semantics flavor (e.g., by making use of Linked Data or known semantic networks within their core functionalities) and authors need to show how the introduction of semantics can be used to obtain valuable information, functionality or performance. Existing natural language processing methods or statistical approaches can be used too as long as the semantics plays a main role within the core approach (engines based merely on syntax/word-count will be excluded from the competition). TARGET AUDIENCE The Challenge is open to everyone from industry and academia. TASKS The Concept-Level Sentiment Analysis Challenge is defined in terms of different tasks. The first task is elementary whereas the others are more advanced. The input units of each task are sentences. Sentences are assumed to be in grammatically correct American English and have to be processed according to the input format specified at http://sentic.net/challenge/sentence. Elementary Task: Polarity Detection The main goal of the task is polarity detection. The proposed systems will be assessed according to precision, recall and F-measure of detected binary polarity values (1=positive; 0=negative) for each input sentence of the evaluation dataset, following the same format as in http://sentic.net/challenge/task0. The problem of subjectivity detection is not addressed within this Challenge, hence participants can assume that there will be no neutral sentences. Participants are encouraged to use the Sentic API or further develop and apply sentic computing tools. Advanced Task #1: Aspect-Based Sentiment Analysis The output of this task will be a set of aspects of the reviewed product and a binary polarity value associated to each of such aspects, in the format specified at http://sentic.net/challenge/task1. So, for example, while for the Elementary task an overall polarity (positive or negative) is expected for a review about a mobile phone, this task requires a set of aspects (such as â??speaker', â??touchscreen', â??camera', etc.) and a polarity value (positive OR negative) associated with each of such aspects. Systems will be assessed according to both aspect extraction and aspect polarity detection. Advanced Task #2: Semantic Parsing As suggested by the title, the Challenge focuses on sentiment analysis at concept-level. This means that the proposed systems are not supposed to work at word/syntax level but rather work with concepts/semantics. Hence, this task will evaluate the capability of the proposed systems to deconstruct natural language text into concepts, following the same format as in http://sentic.net/challenge/task2. SenticNet will be taken as a reference to test the efficiency of the proposed parsers, but extracted concepts won't necessary have to match SenticNet concepts. The proposed systems, for example, are supposed to be able to extract a multi-word expression like â??buy christmas present' from sentences such as â??Today I bought a lot of very nice Christmas presents'. The number of extracted concepts per sentence will be assessed through precision, recall and F-measure against the evaluation dataset. Advanced Task #3: Topic Spotting Input sentences will be about four different domains, namely: books, DVDs, electronics, and kitchen appliances. This task focuses on the automatic classification of sentences into one of such domains, in the format specified at http://sentic.net/challenge/task3. All sentences are assumed to belong to only one of the above-mentioned domains. The proposed systems are supposed to exploit the extracted concepts to infer which domain each sentence belongs to. Classification accuracy will be evaluated in terms of precision, recall and F-measure against the evaluation dataset. EVALUATION DATASET Systems will be evaluated against a testing dataset which will be revealed and released after the first-round of evaluation during the Conference. The dataset will be made public on the challenge website. Participants are suggested to train and/or test their own systems using the Blitzer Dataset. The testing dataset will be constructed in the same way and from the same sources as the Blitzer dataset. EVALUATION The evaluation will be performed by the members of the Program Committee. For systems that can be tuned with different parameters, please indicate a range of up to 4 sets of settings. Settings with the best F-measures will be considered for judgment. For each system, reviewers will give a numerical score within the range [1-10] and details motivating their choice. The scores will be given to the following aspects: 1. Use of common-sense knowledge and semantics; 2. Precision, recall, and F-measure wrt the selected task; 3. Computational time; 4. Innovative nature of the approach. JUDGING AND PRIZES After a first round of review, the Program Committee and the chairs will select a number of submissions confirming to the challenge requirements that will be invited to present their work. Submissions accepted for presentation will be included in post-proceedings and will receive constructive reviews from the Program Committee. All accepted submissions will have a slot in a poster session dedicated to the challenge. In addition, the winners will present their work in a special slot of the main program of ESWC and will be invited to submit a paper to a dedicated Semantic Web Journal special issue. For the Concept-Level Sentiment Analysis Challenge there will be two awards for each task: * Quantitative: the system with the highest average score in items 1-3 above; * Innovative: the system with the highest score in item 4 above. There will be a board of judges at the conference who will evaluate again the systems in more detail. The judges will then meet in private to discuss the entries and to determine the winners. It may happen that the same system runs for both the awards. HOW TO PARTICIPATE The following information has to be provided: * Abstract: no more than 200 words. * Description: It should contain the details of the system, including why the system is innovative, how it uses Semantic Web, which features or functions the system provides, what design choices were made and what lessons were learned. The description should also summarize how participants have addressed the evaluation tasks. Papers must be submitted in PDF format, following the style of the Springer's Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/computer/lncs/lncs+authors), and not exceeding 5 pages in length. * Web Access: The application can either be accessible via the web or downloadable. If the application is not publicly accessible, password must be provided. A short set of instructions on how to use the application should be provided as well. All submissions should be provided via EasyChair https://www.easychair.org/conferences/?conf=eswc2014-challenges Please share comments and questions with the challenge mailing list. The organizers will assist you for any potential issues that could be raised. MAILING LIST We invite the potential participants to subscribe to our mailing list in order to be kept up to date with the latest news related to the challenge. https://lists.sti2.org/mailman/listinfo/eswc2014-semsa-challenge IMPORTANT DATES * March 7, 2014, 23:59 (Hawaii time): Abstract Submission * March 14, 2014, 23:59 (Hawaii time): Submission * April 9, 2014, 23:59 (Hawaii time): Notification of acceptance * May 27-29, 2014: Challenge days CHALLENGE CHAIRS * Erik Cambria (National University of Singapore, SG) * Diego Reforgiato Recupero (CNR STLAB Laboratory, IT) PROGRAM COMMITTEE * Newton Howard (MIT Media Laboratory, US) * ChengXiang Zhai (University of Illinois at Urbana-Champaign, US) * Rada Mihalcea (University of North Texas, US) * Ping Chen (University of Houston-Downtown, US) * Yongzheng Zhang (LinkedIn Inc., US) * Giuseppe Di Fabbrizio (Amazon Inc., US) * Rui Xia (Nanjing University of Science and Technology, CN) * Rafal Rzepka (Hokkaido University, JP) * Amir Hussain (University of Stirling, UK) * Alexander Gelbukh (National Polytechnic Institute, MX) * Bjoern Schuller, (Technical University of Munich, DE) * Amitava Das (Samsung Research India, IN) * Dipankar Das (National Institute of Technology, IN) * Carlo Strapparava (Fondazione Bruno Kessler, IT) * Stefano Squartini (Marche Polytechnic University, IT) * Cristina Bosco (University of Torino, IT) * Paolo Rosso (Technical University of Valencia, ES) ESWC CHALLENGE COORDINATOR * Milan Stankovic (Sepage & Universite Paris-Sorbonne, FR)

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Fwd: [AISWorld] ESWC 2014 Call for Challenge: Semantic Publishing
by Gustaf Neumann 03 Dec '13

03 Dec '13

-------- Original-Nachricht -------- Betreff: [AISWorld] ESWC 2014 Call for Challenge: Semantic Publishing Datum: Tue, 3 Dec 2013 09:36:59 +0100 Von: speroni(a)cs.unibo.it An: aisworld(a)lists.aisnet.org ** apologies for cross-posting ** ==== Call for Challenge: Semantic Publishing ==== Challenge Website: http://challenges.2014.eswc-conferences.org/SemPub Call Web page: http://2014.eswc-conferences.org/important-dates/call-SemPub MOTIVATION AND OBJECTIVES Scholarly publishing is increasingly enabling a new wave of applications that better support researchers in disseminating, exploiting and evaluating their results. The potential of publishing scientific papers enriched with semantic information is huge and raises interesting and challenging issues. Semantic Web technologies play a central role in this context, as they can help publishers to make scientific results available in an open format the whole research community can benefit from. The Semantic Publishing Challenge 2014 is intended to be the first in a series of events at ESWC for producing and exploiting semantic publishing data. The main focus this year is on extracting information and using this information to assess the quality of scientific productions. Linked open datasets about scientific production exist - e.g. DBLP - but they usually cover basic bibliographic information, which is not sufficient to assess quality. Quality-related information, such as the number of journal articles that cite a given publication, or the number of times a workshop has been run by the same chairs and received many submissions, or the actual function of a citation are often hidden and not yet available as LOD. The main goal of the Challenge is to build high-quality LOD that contains such information. Moving off this year's outcomes, we plan to investigate the final publication and exploitation side in the next editions. TARGET AUDIENCE The Challenge is open to everyone from industry and academia. TASKS We ask challengers to automatically annotate a set of multi-format and multi-source input documents and to produce a Linked Open Dataset that fully describes these documents, their context, and relevant parts of their content. The evaluation will consist of evaluating a set of queries against the produced dataset to assess its correctness and completeness. The input dataset will be split in two parts: a training/testing part and an evaluation part, which will disclosed a few days before the submission deadline. Participants will be asked to run their tool on the evaluation dataset and to produce the final Linked Open Dataset. Further details about the organization of the Challenge will be provided. The Challenge will include two tasks: Task 1: Extraction and assessment of workshop proceedings information Participants are required to extract information from a set of HTML tables of contents, partly including microformat and RDFa annotations but not necessarily being valid HTML, of selected computer science workshop proceedings published with the CEUR-WS.org open access service. The extracted information is expected to answer queries about the quality of these workshops, for instance by measuring their growth, longevity, connection with other events, distribution of papers and authors. Task 2: Extraction and characterization of citations Participants are required to extract information about the citations in scientific journals and their relevance. Input documents are in XML JATS and TaxPub, an official extension of JATS customized for taxonomic treatments, and selected from the PubMedCentral Open Access Subset and the Pensoft Biodiversity Data Journal and ZooKeys archive. The extracted information is expected to be used for assessing the value of citations, for instance by considering their position in the paper, their co-location with other citations or their purpose. EVALUATION Participants will be requested to submit the LOD that their tool produces from the evaluation dataset, as well as a paper that describes their approach. They will also be given a set of queries in natural language form and will be asked to translate those queries into a SPARQL form that works on their LOD. The results of the queries on the produced LOD will be compared with the expected output, and precision and recall will be measured to identify the best performing approach. Separately, the most original approach will be assigned by the Program Committee. Further details about the evaluation will be provided on the challenge wiki. FEEDBACK AND DISCUSSION A discussion group is open for participants to ask questions and to receive updates about the challenge (see link at bottom). Participants are invited to subscribe to this group as soon as possible and to communicate their intention to participate. They are also invited to use this channel to discuss problems in the input dataset and to suggest changes. JUDGING AND PRIZES After a first round of review, the Program Committee and the chairs will select a number of submissions conforming to the challenge requirements that will be invited to present their work. Submissions accepted for presentation will receive constructive reviews from the Program Committee, they will be included in the Springer LNCS post-proceedings of ESWC, and they will have a presentation slot in a poster session dedicated to the challenge. In addition, the winners will present their work in a special slot of the main program of ESWC and will be invited to submit a revised and extended paper to a dedicated Semantic Web Journal special issue. Four winners will be selected. For each of the two tasks we will select: * best performing tool, given to the paper which will get the highest score in the evaluation * most original approach, selected by the Challenge Committee with the reviewing process HOW TO PARTICIPATE Participants are required to submit: * Abstract: no more than 200 words. * Description: It should explain the details of the automated annotation system, including why the system is innovative, how it uses Semantic Web technology, what features or functions the system provides, what design choices were made and what lessons were learned. The description should also summarize how participants have addressed the evaluation tasks. An outlook towards how the data could be consumed is appreciated but not strictly required. Papers must be submitted in PDF format, following the style of the Springer's Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/computer/lncs/lncs+authors), and not exceeding 5 pages in length. * The Linked Open Dataset produced by their tool on the evaluation dataset (as a file or as a URL, in Turtle or RDF/XML). * A set of SPARQL queries that work on that LOD and correspond to the natural language queries provided as input Participants will also be asked to submit their tool (source and/or binaries, or a link these can be downloaded from, or a web service URL) for verification purposes. Further submission instructions will be published on the challenge wiki. All submissions should be provided via EasyChair https://www.easychair.org/conferences/?conf=eswc2014-challenges MAILING LIST We invite the potential participants to subscribe to our mailing list in order to be kept up to date with the latest news related to the challenge. https://lists.sti2.org/mailman/listinfo/eswc2014-sempub-challenge IMPORTANT DATES * December 3, 2013: Publication of the full description of tasks, rules and queries; publication of the training/testing dataset * January 15, 2014, 23:59 (Hawaii time): Deadline for making remarks to the training/testing dataset * January 20, 2014: Publication of the final training/testing dataset * March 7, 2014, 23:59 (Hawaii time): Abstract Submission * March 11, 2014: Publication of the evaluation dataset * March 14, 2014, 23:59 (Hawaii time): Submission * April 9, 2014, 23:59 (Hawaii time): Notification of acceptance * May 27-29, 2014: Challenge days CHALLENGE CHAIRS * Angelo Di Iorio (Department of Computer Science and Engineering, University of Bologna, IT) * Christoph Lange (Enterprise Information Systems, University of Bonn / Fraunhofer IAIS, DE) PROGRAM COMMITTEE Soren Auer (University of Bonn / Fraunhofer IAIS, DE) (supervisor) Sarven Capadisli (University of Leipzig, DE) Alexander Constantin (University of Manchester, UK) Alexander Garcia Castro (Florida State University, US) Leyla Jael Garcia Castro (Bundeswehr University of Munich, DE) Aidan Hogan (DERI Galway, IR) Evangelos Milios (Dalhousie University, CA) Lyubomir Penev (Pensoft Publishers, BG) Robert Stevens (University of Manchester, UK) Jun Zhao (Lancaster University, UK) We are inviting further members. ESWC CHALLENGE COORDINATOR * Milan Stankovic (Sepage & Universite Paris-Sorbonne, FR) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] ESWC 2014 Call for Challenge: Linked Open Data-enabled Recommender Systems
by Gustaf Neumann 03 Dec '13

03 Dec '13

-------- Original-Nachricht -------- Betreff: [AISWorld] ESWC 2014 Call for Challenge: Linked Open Data-enabled Recommender Systems Datum: Tue, 3 Dec 2013 09:22:48 +0100 Von: speroni(a)cs.unibo.it An: aisworld(a)lists.aisnet.org ** apologies for cross-posting ** ==== Call for Challenge: Linked Open Data-enabled Recommender Systems ==== Challenge Website: http://challenges.2014.eswc-conferences.org/RecSys Call Web page: http://2014.eswc-conferences.org/important-dates/call-RecSys MOTIVATION AND OBJECTIVES People generally need more and more advanced tools that go beyond those implementing the canonical search paradigm for seeking relevant information. A new search paradigm is emerging, where the user perspective is completely reversed: from finding to being found. Recommender systems may help to support this new perspective, because they have the effect of pushing relevant objects, selected from a large space of possible options, to potentially interested users. To achieve this result, recommendation techniques generally rely on data referring to three kinds of objects: users, items and their relations. Recent developments in the Semantic Web community offer novel strategies to represent data about users, items and their relations that might improve the current state of the art of recommender systems, in order to move towards a new generation of recommender systems which fully understand the items they deal with. More and more semantic data are published following the Linked Data principles, that enable to set up links between objects in different data sources, by connecting information in a single global data space: the Web of Data. Today, the Web of Data includes different types of knowledge represented in a homogeneous form: sedimentary one (encyclopedic, cultural, linguistic, common-sense) and real-time one (news, data streams, ...). These data might be useful to interlink diverse information about users, items, and their relations and implement reasoning mechanisms that can support and improve the recommendation process. The primary goal of this challenge is twofold. On the one hand, we want to create a link between the Semantic Web and the Recommender Systems communities. On the other hand, we aim to show how Linked Open Data and semantic technologies can boost the creation of a new breed of knowledge-enabled and content-based recommender systems. TARGET AUDIENCE The target audience is all of those communities, both academic and industrial, which are interested in personalized information access with a particular emphasis on Linked Open Data. During the last ACM RecSys conference more than 60% of participants were from industry. This is for sure a witness of the actual interest of recommender systems for industrial applications ready to be released in the market. TASKS Task 1: Rating prediction in cold-start situations This task deals with the rating prediction problem, in which a system is requested to estimate the value of unknown numeric scores (a.k.a. ratings) that a target user would assign to available items, indicating whether she likes or dislikes them. In order to favor the proposal of content-based, LOD-enabled recommendation approaches, and limit the use of collaborative filtering approaches, this task aims at predicting ratings in cold-start situations, that is, predicting ratings for users who have a few past ratings, and predicting ratings of items that have been rated by a few users. The dataset to use in the task - DBbook - relates to the book domain. It contains explicit numeric ratings assigned by users to books. For each book we provide the corresponding DBpedia URI. Participants will have to exploit the provided ratings as training sets, and will have to estimate unknown ratings in a non-provided evaluation set. Recommendation approaches will be evaluated on the evaluation set by means of metrics that measure the differences between real and estimated ratings, namely the Root Mean Square Error (RMSE). Task 2: Top-N recommendation from binary user feedback This task deals with the top-N recommendation problem, in which a system is requested to find and recommend a limited set of N items that best match a user profile, instead of correctly predict the ratings for all available items. Similarly to Task 1, in order to favor the proposal of content-based, LOD-enabled recommendation approaches, and limit the use of collaborative filtering approaches, this task aims at generating ranked lists of items for which no graded ratings are available, but only binary ones. Also in this case, the DBbook dataset will be provided. In this task, the accuracy of recommendation approaches will be evaluated on an evaluation set using the F-measure. Task 3: Diversity A very interesting aspect of content-based recommender systems and then of LOD-enabled ones is giving the possibility to evaluate the diversity of recommended items in a straight way. This is a very popular topic in content-based recommender systems, which usually suffer from over-specialization. In this task, the evaluation will be made by considering a combination of both accuracy of the recommendation list and the diversity of items belonging to it. Also for this task, DBbook dataset will be used. Given the domain of books, diversity with respect to the two properties dbpedia-owl:author and skos:subject will be considered. EVALUATION DATASET AND EVALUATION METRICS DBbook dataset This dataset relies on user data and preferences retrieved from the Web. The books available in the dataset have been mapped to their corresponding DBpedia URIs. The mapping contains 8170 DBpedia URIs. These mappings can be used to extract semantic features from DBpedia or other LOD repositories to be exploited by the recommendation approaches proposed in the challenge. The dataset is split in a training set and an evaluation set. In the former, user ratings are provided to train a system while in the latter, ratings have been removed, and they will be used in the eventual evaluation step. Participants will generate the ratings (Task 1) or the ranking (Task 2 and Task 3) for the test set, and their results will be compared and evaluated with respect to actual users ratings (hidden evaluation data). The two sets will be provided at the challenge's website, in the following plain text files: * lodrecsys2014-DBbook-training-ratings.txt: Contains tuples <user, book, rating> that may be used to build the recommendation approaches. * lodrecsys2014-DBbook-test-ratings.txt: Contains tuples <user, book> that will be used to evaluate the recommendation approaches. Together with the two previous files, a further one will be provided containing the mapping to DBpedia. * lodrecsys2014-DBbook-mappings.txt: Contains tuples <book, bookURI> associated with the books in DBbook that will be used to extract and exploit semantic features from DBpedia and other LOD repositories. Recommendation approaches will be evaluated with the metrics requested in each task. We provide a number of Java classes that compute the different metrics and a Web Service to test intermediate results. A description of the metrics to compute and further details regarding the evaluation will be available at the challenge website. JUDGING AND PRIZES After a first round of reviews, the Program Committee and the chairs will select a number of submissions that will have to satisfy the challenge's requirements, and will have to be presented at the conference. Submissions accepted for presentation will receive constructive reviews from the Program Committee, and will be included in post-proceedings. All accepted submissions will have a slot in a poster session dedicated to the challenge. In addition, the winners will present their work in a special slot of the main program of ESWC'14, and will be invited to submit a paper to a dedicated Semantic Web Journal special issue. For each task we will select: * the best performing tool, given to the paper which will get the highest score in the evaluation * the most original approach, selected by the Challenge Program Committee with the reviewing process HOW TO PARTICIPATE The following information has to be provided: * Abstract: no more than 200 words. * Description: It should contain the details of the system, including why the system is innovative, how it uses Semantic Web, which features or functions the system provides, what design choices were made, and what lessons were learned. The description should also summarize how participants have addressed the evaluation tasks. Papers must be submitted in PDF format, following the style of the Springer's Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/computer/lncs/lncs+authors), and not exceeding 5 pages in length. * Result evaluation: For the three tasks previously described, a Web-accessible service will be provided in order to evaluate the produced results. All the details about the format and the service URL will be provided on the website. All submissions should be provided via EasyChair https://www.easychair.org/conferences/?conf=eswc2014-challenges MAILING LIST We invite the potential participants to subscribe to our mailing list in order to be kept up to date with the latest news related to the challenge. https://lists.sti2.org/mailman/listinfo/eswc2014-recsys-challenge IMPORTANT DATES * March 7, 2014, 23:59 (Hawaii time): Abstract Submission * March 14, 2014, 23:59 (Hawaii time): Submission * April 9, 2014, 23:59 (Hawaii time): Notification of acceptance * May 27-29, 2014: Challenge days CHALLENGE CHAIRS * Tommaso Di Noia (Polytechnic University of Bari, IT) * Ivan Cantador (Universidad Autonoma de Madrid, ES) EVALUATION COORDINATOR * Vito Claudio Ostuni (Polytechnic University of Bari, IT) PROGRAM COMMITTEE (to be completed) * Oscar Corcho (Universidad Politecnica de Madrid, ES) * Marco de Gemmis (University of Bari Aldo Moro, IT) * Frank Hopfgartner (Technische Universitat Berlin, DE) * Andreas Hotho (Universitat Wurzburg, DE) * Dietmar Jannach (TU Dortmund University, DE) * Pasquale Lops (University of Bari Aldo Moro, IT) * Valentina Maccatrozzo (Delft University of Technology, NL) * Francesco Ricci (Free University of Bozen-Bolzano, IT) * Giovanni Semeraro (University of Bari Aldo Moro, IT) * David Vallet (NICTA, AU) * Manolis Wallace (University of Peloponnese, GR) * Markus Zanker (Alpen-Adria-Universitaet Klagenfurt, AT) ESWC CHALLENGE COORDINATOR * Milan Stankovic (Sepage & Universite Paris-Sorbonne, FR) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Cfp December 2013