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DECOR 2021 : 4th International Workshop on Data Engineering Meets Intelligent Food and COoking Recipes 2021 (Co-Located with the 37th IEEE International Conference on Data Engineering) | |||||||||||||||
Link: http://research.nii.ac.jp/decor/decor2021.html | |||||||||||||||
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Call For Papers | |||||||||||||||
FOURTH INTERNATIONAL WORKSHOP on
Data Engineering Meets Intelligent Food and COoking Recipes 2021 Co-Located with the 37th IEEE International Conference on Data Engineering (ICDE) April 19, 2021 - CHANIA, CRETE, GREECE Workshop webpage: http://research.nii.ac.jp/decor/decor2021.html DECOR2021@ICDE submission link https://easychair.org/conferences/?conf=decoricde2021 The Workshop on Data Engineering meets intelligent food and COoking Recipes (DECOR) aims to accelerate research in data science by providing a forum for the latest innovations in the intersection of Data Engineering and Intelligent Food and Cooking Recipes. Intelligent Food and Cooking Recipes domain comprises not only the process of cooking, but also includes intelligent methods for enhancing human-food interactions, ranging from devising technology, playful interactions, multisensory experience design, understanding cross-cultural food eating habits and perception, as well as food choices and their health connections. Consequently, increasing the ability of influencing food eating habits and choices that promote, simultaneously, healthful eating-decisions and creative new human-food interaction experiences. The fourth DECOR will have a special attention to ''Cooking Recipe Giga dataset for Data Engineering.'' We envision that this workshop will continue: a) To bring together researchers and practitioners from the data engineering and the food computing and social media communities, with the goal of investigating and leveraging new research opportunities in the design and implementation of data infrastructure and real-world applications with emerging food and cooking recipe computing technologies. b) To promote discussions on how to push forward innovative solutions for the challenging problem on how to store, access and retrieve pertinent information and knowledge from an increasing amount of data available to everyone. c) To discuss several challenges associated with the progress of the multiple aspects of the Intelligent Food and Cooking Recipes area as a sub-field of the Data Engineering and Big Data arena. All these are tailored to be aligned with ICDE 2021 topics. Special events: 2 Keynote Speakers: - Charles Spencer, Professor, Cross-modal Research Laboratory, Oxford University, UK. - Ramesh Jain, Professor, Department of Computer Sciences, University of California Irvin, US. Interactive Session: Mulsemedia and Mouthfeel Enlightening Student session Best paper awards: one best paper; one best student paper Check DECOR2021 website!!! Authors will be encouraged to submit contributions addressing a range of topics in the intersection of Data Science, Data Engineering and Applied Computational Science, with impacts on on-going standardization, especially in cooperation with ISO/IEC JTC 1/SC 42, international standards committee responsible for standardization in the area of Artificial Intelligence (AI). We will call for contributions related to model design, use case best practices, technologies and intelligent data management tools supporting Intelligent Food and Cooking Recipes processes. In addition to primary investigations applying advanced analytic pipelines to data already stored in repositories, desirable contributions also include the reports of the full set of digital and/or Mulsemedia objects that are produced. These digital objects might include original data, software, software pipelines, models, workflows, containers, virtual machines, intermediary data, and metadata strategies. Here are some important dates: December 14, 2020 Full Paper, demo, short paper Submissions due January 15, 2021 Acceptance Notification February 1, 2021 Revision Submission due February 9, 2021 Final Notification March 1, 2021 Camera-ready papers due April 19, 2021 Workshop date (tentative date) All papers must be original and not simultaneously submitted to another journal or conference. Authors are invited to submit long papers (6 pages), or short papers (4 pages) or demonstration (4 pages). Students are also invited to submit long papers and short papers in the special enlightening student session. All products for review must be submitted through EasyChair using the link https://easychair.org/conferences/?conf=decoricde2020 To be included in the IEEE Xplore Library, accepted papers must be registered and presented. Topics of interest include, but are not limited to: Foundation and Technologies for Intelligent Food and Cooking Recipes - Data engineering and Design Science 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 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 - Multi-modal representation learning (Image/text alignment) - Recommendation systems, benchmarking and performance evaluation - Classification for food data - Multi-modal retrieval techniques for recipe management - 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 systems for group - Data visualization for enhance food sensorial experience 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 ********************************************************************************************** Workshop Chairs F. Andres, National Institute of Informatics, JP G. Ghinea, Brunel University, UK W. Grosky, University Michigan-Dearborn, US M. Leite, University South Florida St. Petersburg, US
 Publicity Chairs Ahmed Elmesiry, Faculty of Computing Engineering & Science, University of South Wales, UK Estevao Bissoli Saleme, Institute Federal do Espirito Santo (IFES), Brazil Manos Perakakis, Mediterranean Hellenic University, Crete, Greece Hari Om Sharan, Faculty of Engineering and Technology, Rama University Uttar Pradesh, India Program Committee R. Agrawal, ERDC, US C. Anantaram, IN C. Anutariya, AIT, TH A. Batch, University of Maryland, US M. Bhardwaj, Halliburton, US W. Chang, NIST, USA X. Dai, University of North Carolina at Chapel Hill, US K. Doman, Chukyo University, JP L. D' Orazio, IRISA, FR F. Fotouhi, Wayne University, US I. Ide, Nagoya University, JP M. Jaglan, NIT Hamirpur, IN D. Jannach, University of Klagenfurt, DE R. Kannan, HBC, IN N. Kumar, Rama University, IN D.L. Lee, HKUST, HK Y-K Ng, Brigham Young University, US A. Nijholt, University of Twente, NL Y. Nishihar, Ritsumeikan University, jp F. Ofli, QCR Institute, Qatar E. Ogasawara, CEFET/RJ, BR M. Rafi, Natl. University of Comp. & Emerging Sci., PK O. Salviano, PUC, Campinas, BR C. A. S. Santos, UFES, BR F. Sedes, IRIT, Toulouse, FR A. Shakya, Tribhuvan University, Nepal C. Shimizu, Kansas State University, US C. Trattner, University of Bergen, NO Y. Wang, Texas Southern University, USA I. Weber, QCR Institute, QA K. Yanai, UEC, JP Steering Committee Alan Hevner. University of South Florida, USA Yannis Ioannidis. University of Athens, Greece Epaminodas Kapetanios. University of Westminster, UK Takuya Kitagawa. Rakuten, Japan Pierre A. Levy. University of Ottawa, Canada Jeannette Nuessli Guth. ETH Zurich, Switzerland Bhavani Thuraisingham. The University of Texas at Dallas, USA Yoko Yamakata. The University of Tokyo, Japan Aidong Zhang. University of Virginia, Charlottesville, USA |
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