-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CFP: International Workshop on Semantics in the Deep: Semantic Analytics for Big Data (SEDSEAL 2018) Datum: Sun, 3 Dec 2017 21:24:20 +0200 Von: Christos Alexakos alexakos@ceid.upatras.gr An: aisworld@lists.aisnet.org
(Apologies for multiple postings)
========================================================================== International Workshop on Semantics in the Deep: Semantic Analytics for Big Data (SEDSEAL 2018)
URL: https://sedseal2018.ceid.upatras.gr
in conjunction with the
14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018)
May 25-27, 2018, Rhodes, Greece
==========================================================================
**************************************************************************** CALL FOR PAPERS ****************************************************************************
============== AIMS AND SCOPE ==============
Recent advances in availability of information on the Internet, storage space and web generated content have paved the way for the advent of Big Data. The well-known 4 Vs (Velocity, Variety, Volume, Value) that characterize Big Data can find a match in intelligent ways for management, manipulation and value- extraction. It is widely acknowledged that the recent surge in AI and especially machine learning is exactly due to these advancements. The Semantic Web can offer a well-studied, although ever advancing, toolbox that can address Big Data requirements and contribute towards their meaningful analysis. Still, there are often issues that need to be tackled with like bootstrapping, efficiency and standardized business processes for semantic analytics to achieve satisfactory results. To this end, machine- and deep-learning techniques, while being shunned in the past, have been shown to have considerable contributions towards Big Data analytics and to overcome Semantic Web inherent limitations. Therefore, the aim of this workshop is to bring together researchers and practitioners to look deeper into how Semantic Web technologies can contribute towards Big Data analytics. This can be achieved either by extracting value out of these data (through reasoning), creating sustainable ontology models, offering a solid foundation for deploying learning techniques or anything in between.
================== TOPICS OF INTEREST ==================
Indicative topics of interest for the workshop include, but are not limited to: - Ontologies for big data - Semantic applications in big data domains including open datasets, linked data, scholarly information, e-learning, economics, insurance, sensors, bioinformatics - Reasoning approaches for knowledge extraction - Ontology learning - Topic modeling - Linked Data - NLP and word embedding - Semantic deep learning - Semantic lakes - OBDA approaches for big data access - Evaluation techniques - Ontologies as training sets - Ontology evolution and learning feedback - Scalability issues
================ PAPER SUBMISSION ================
Papers reporting original and unpublished research results on the above and related topics are solicited. Authors should submit a paper with up to 10 pages (in English) in single-column Springer format following the Springer IFIP AICT format guidelines. Submissions must be in electronic form as PDF files and should be uploaded at https://easychair.org/conferences/?conf=sedseal2018. Submitted papers will be peer-reviewed by at least 2 independent members of the program committee. At least one author of each accepted paper must be registered and present the paper at the workshop. All accepted papers will be included in the conference proceedings and published in the Springer IFIP AICT (Advances in Information and Communication Technology series). Extended versions of selected workshop papers will be considered for publication in international journals.
=============== IMPORTANT DATES ===============
Paper submission: 3/2/2018 Author notification: 28/2/2018 Camera-ready submission: 9/3/2018 Workshop Dates: 25-27/5/2018
============ ORGANIZATION ============
Dr. Dimitrios A. Koutsomitropoulos, University of Patras, Greece Prof. Spiridon D. Likothanassis, University of Patras, Greece
============================ PROGRAM COMMITEE (tentative) ============================
Andreas Andreou, Cyprus University of Technology, Cyprus Christos Alexakos, University of Patras, Greece Dimitrios Koutsomitropoulos, University of Patras, Greece Dimitrios Tsolis, University of Patras, Greece Dimitrios Tzovaras, CERTH/ITI, Greece Efstratios Georgopoulos, Technological Institute of Kalamata, Greece Filipe Portela, University of Minho, Spain Jouni Tuominen, University of Helsinki, Finland Konstantinos Votis, CERTH/ITI, Greece Miguel-Angel Sicilia, University of Alcala, Spain Minjuan Wang, San Diego State University, US Spiridon Likothanassis, University of Patras, Greece Vassilis Plagianakos, University of Thessaly, Greece
======= CONTACT =======
For additional information, please contact: Dr. Dimitrios A. Koutsomitropoulos, kotsomit@ceid.upatras.gr Prof. Spiridon D. Likothanassis, likothan@ceid.upatras.gr _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org