Betreff: | [AISWorld] DECOR 2018 Call for Paper |
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Datum: | Mon, 23 Oct 2017 19:15:31 +0000 |
Von: | Kayhan, Varol <vkayhan@usf.edu> |
An: | aisworld@lists.aisnet.org <aisworld@lists.aisnet.org> |
DECOR 2018 Call for Paper ============================== http://research.nii.ac.jp/decor/decor2018.html Important Dates --------------------- Paper submission due: January 5, 2018 Notification of acceptance: after January 30, 2018 Camera ready copy due: February 26, 2018 Workshop date: April 16, 2018 1st International Workshop on Data Engineering meets Intelligent Food and COoking Recipe (DECOR) 2018 Held in conjunction with the 34th IEEE International Conference on Data Engineering (ICDE) 2018, Paris, France, April 16th - 20th Website: http://icde2018.org Introduction -------------------- Intelligent food systems and Cooking Recipe data analytics are emerging as a new research domain for data engineering and data management. Therein responding to emerging opportunities and challenges in a timely manner. Nevertheless, the growth of data in volumes seems to out-speed the advance of the many established data managing and processing technologies. There are many forms of food-related data that are being collected on an enormous scale, ranging from a variety of chemical and nutritional data to recipe collections and social media postings. The food-based data sets have inherent characteristics that poses unique challenges to the field, for instance, categorizing an ingredient state (e.g., sliced, diced, raw, baked, grilled, or boiled) provides a unique challenge in attribute recognition one that is not well posed by existing datasets. Additionally, the free-form nature of food suggests a departure from the concrete task of classification in favor of a more nuanced objective that integrates variation in a recipe's structure. Data food also offers new perspectives on topical challenges in computer vision like finding representations that are robust to occlusion and deformation (such as occurring during ingredient processing) and that operate in a multimodal framework (e.g., image/text alignment). With the reality of big data comes the challenge of analysing and managing the data in a way that brings substantial value. In the food context, the appropriate data processing and management could expose new knowledge, indicate research directions, and lead to far-reaching changes in our understanding of food perception, healthy food habits, and culinary practice. This workshop thus targets this evolving research domain and focuses on its data aspects. The goal of the workshop is to provide concrete contributions in the analysis and design of models, methods, demonstration systems, and intelligent tools to support the data management of computational cooking. Authors are encouraged to submit both contributions devoted to computational cooking or also more generic models/frameworks for which intelligent food systems. Cooking Recipe data analytics could be considered as an application domain. Topics of interest ------------------ In this workshop, topics of interest include, but are not limited to: Foundations and Technologies for Intelligent Food and Cooking Recipe - Data engineering in the food domain - Big Data and cooking recipes - Cooking and recipe computing - Nutrition data mining - Cooking recipe benchmarking - Data semantic modelling and ontology engineering for food data - Recipe data management Design Science Research in Cooking and Nutrition Science - Design processes - Building and evaluating cooking artifacts (recipes, recommender systems, ontologies) - Measuring creativity and qualities of designs - Impacts of new nutrition designs - Designing socio-technical systems to improve nutrition and healthy life styles Data Analytics in Recipe Computing - Recipe data analytics - Open cooking linked data analysis - Food ontology - Social data analysis for recipe computing - Eating behavior analysis - Culture analytics for food recommender system - Multimedia food data analysis Machine Learning and Deep Learning for Computational Cooking: - Multimodal representation learning (Image/text alignment) - Recommendation systems, benchmarking and performance evaluation - Classification for food data - Recipe or cross-modal retrieval - Content generation for recipe computing Collective intelligence for Recipe Computing - Knowledge discovery from recipe computing - Data visualization for food decision making - Decision-making in intelligent food system - Interactions in recipe computing - Food recommender system for group Nutritional Value and Applications for Intelligent Food Systems - Automated recipe and nutrients conversion - Nutritional model for the intelligent food system - Healthy eating models - Health-aware food recommender systems - Personalization and health model Submission Guidelines ------------------------------ DECOR 2018 invite authors to submit papers in one of the following type: 1. Long papers (no longer than 6 pages): Both theoretical and practical research papers from both research and industrial communities addressing the main conference topic. For instance, we will consider contributions about DECOR application, case study, datasets.  2. Short papers (no longer than 4 pages): Position papers, open perspectives and challenging problems, or interesting discussion topics in the DECOR field are welcome. All submissions must be prepared in the IEEE camera-ready format. Thank you follow the submission guidelines provided by ICDE 2018 Conference (https://icde2018.org/index.php/submission-guidelines/papers/) All accepted submissions will be published in the ICDE proceedings and will also become publicly available through the IEEE Xplore. Only electronic submissions in PDF format will be considered and they must be submitted via  the EasyChair submission link: https://easychair.org/conferences/?conf=decor2018 Contact Information -------------------------- In case of questions, please contact (andres AT nii DOT ac DOT jp) or ( mouzhi DOT ge AT muni DOT cz) or  (mcleite AT mail DOT usf DOT edu ) or ( laure DOT soulier AT lip6 DOT fr ). Workshop Co-Chairs ---------------------------- Frederic Andres, National Institute of Informatics, Japan, andres@nii.ac.jp Mouzhi Ge, Masaryk University, Czech Republic, mouzhi.ge@muni.cz Maria Leite, University of South Florida  St. Petersburg, USA, mcleite@mail.usf.edu Laure Soulier, UPMC-Sorbonne Universities, LIP6, Paris, France  laure.soulier@lip6.fr Workshop Publicity Co-Chairs --------------------------------------- Genevès, Pierre.  LIG, INRIA, Grenoble, France Yamakata, Yoko. The University of Tokyo, Japan Program Committee Members ---------------------------------------- Anantaram, C. TCS, India Asano, Yasuhito. Kyoto University, Japan Batini, Carlo. Universidade di Milano Bicoca, Italy Bhardwaj, Manisha.  Halliburton, USA Chondrogiannis, Theodoros. Free University of Bozen-Bolzano, Italy D’Orazio, Laurent. IRISA, France Elmisery, Ahmed M.  Universidad Tecnica Federico Santa Maria, Valparaiso, Chile Fotouhi, Farshad. Wayne State University, USA Grosky, William. University of Michigan-Dearborn, USA Hatano, Kenji. Doshisha University, Japan Helfert, Markus. Dublin City University, Ireland Ide, Ichiro. Nagoya University, Japan Jannach, Dietmar. Technical University of Dortmund, Germany Kannan, Rajkumar. HBC, India Lu, Sanglu. Nanjing University, China Ludwig, Bernd.  University of Regensburg, Germany Moulahi, Bilel. LIRMM Université de Montpellier, France, Nafiss, Anahita.  IBG-2, Juelich Research Center Center, Germany Sais, Fatiha. IUT Orsay, France Salviano, Oscar.  PUC, Campinas, Brazil  Sedes, Florence.  IRIT, Toulouse, France Shi, Feng Bill. University of North Carolina at Chapel Hill, USA Su, Ying. Institute of Scientific and Technical Information of China, China Thome, Nicolas.  CNAM, Paris, France Tkalcic, Marko.  Free University of Bolzano, Italy Toumani, Farouk, LIMOS, UCA, Clermont Ferrand, France Waller, Emmanuel. University Paris-Sud, France Weber, Ingmar.  Qatar Computing Research Institute, Qatar Yu, Yi. National Institute of Informatics, Japan Workshop Secretary --------------------------- Shiho Iwasawa, National Institute of Informatics, Japan, shiho at nii dot ac dot jp Steering Committee Co-Chairs ----------------------------------------- Cord, Matthieu. UPMC-Sorbonne Universities, LIP6, Paris, France Hevner, Alan. University of South Florida, FL, USA Ioannidis, Yannis. Athens Dept. of Informatics & Telecommunications Panepistimioupolis, Greece Kapetanios, Epaminondas. University of Westminster, UK Kitagawa, Takuya. Rakuten, Japan Levy, Pierre A.  Department of Communication, University of Ottawa, Canada Yamakata, Yoko. The University of Tokyo, Japan Zhang, Aidong, University at Buffalo.The State University of New York, USA _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org