FIFTH INTERNATIONAL WORKSHOP on
Data Engineering Meets Intelligent Food and COoking Recipes 2022

Co-Located with the 38th IEEE International Conference on Data Engineering (ICDE)

May 9, 2022 - Kuala Lumpur, Malaysia

Workshop webpage: https://research.nii.ac.jp/decor/decor2022.html


DECOR2022@ICDE submission link https://easychair.org/conferences/?conf=decor2022icde

The past decades have seen an enormous growth in the research related to the digital food and cooking recipes underpinnings of data engineering, as food is essential for human life and related health. The ability to collect, store, process, and evaluate cooking recipes has advance immensely, and data science-driven methods have had unprecedented impact on food experience sharing and recommendations at large. Mainly because of their success in analyzing and predicting human cooking expectation, flavor, and taste preferences. Data Engineering stands to benefit from the food computing and recipe cooking revolution in similar ways but realizing this vision requires thoughtful and concerted effort.
The 5th International Workshop on Data Engineering meets intelligent food and COoking Recipes (DECOR2022@ICDE) 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. For information on previous editions of DECOR visit the Workshop webpage.

The fifth DECOR will have a special attention to "Cooking Recipes and food 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 2022 topics.




Special events:

2 Keynote Speakers: TBA

Interactive Session: Mulsemedia food expectation and tasting experience

Enlightening Student session

Best paper awards: one best paper; one best student paper

Check DECOR2022 website for updates!!!
http://research.nii.ac.jp/decor/aboutdecor22.html


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.

The proceedings of the workshop will be published jointly with the ICDE conference proceedings and all papers must be prepared in the IEEE format.

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
or short papers in the special enlightening student session.


Important dates:

For all DECOR 2022 Accepted papers, demo, or short papers

March 30, 2022 Camera-ready papers due
May 9, 2022 Workshop date (tentative date)


FIRST ROUND:

January 14, 2022 Full Paper, demo, short paper Submissions due
February 5, 2022 Acceptance Notification
February 18, 2022 Revision Submission due
March 4, 2022 Final Notification

SECOND ROUND:

February 15, 2022 Full Paper, demo, short paper Submissions due
February 29, 2022 Acceptance Notification
March 12, 2022 Revision Submission due
March 16, 2022 Final Notification




Submission for review:

The papers should be prepared for blind review and submitted through EasyChair using the following link
https://easychair.org/conferences/?conf=decor2022icde

Dataset: if an original dataset has been used in the submitted paper, the dataset should be published on the IEEE Dataport site (https://ieee-dataport.org/submit-dataset) and cited in the paper. It is a requirement for the paper review process.


To be included in the IEEE Xplore Library, accepted papers must be registered and presented. If the authors do not provide adequate assurances that they comply with the publication requirements for sharing data sets, we reserve the right to refuse publication.


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 modeling 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



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Workshop Chairs

F. Andres, National Institute of Informatics, JP
G. Bagler, Indraprashtha Institute of Information and Technology Delhi, IN
F. Fotouhi, Wayne State University, US
M. Leite, University of South Florida at St Petersburg, USA/ Basque Center for Applied
Mathematics, Spain

Publicity Chairs

R. Kannan, Bishop Heber College, IN
M. S. Karim, Universiti Putra Malaysia, MY
A. Pester, The British University in Egypt, EG
Y. Sulema, Igor Sikorsky Kyiv Polytechnic Institute, UA
B. Thuraisingham, UT Dallas, US


Program Committee

C. Anantaram, IIIT & Tata Consultancy Services Ltd, IN
M. Bhardwaj, Halliburton, US
X. Dai, Univ. of N. Carolina, USA
L. D’Orazio, IRISA, FR
G. Ghinea, Brunel University, UK
I. Ide, Nagoya University, JP
M. S. Karim, Universiti Putra Malaysia, MY
D.L. Lee, HKUST, HK
F. Ofli, QCR Institute, Qatar
M.T. Restivo, University of Porto, PT
E. B. Saleme, IFES, BR
F. Sedes, IRIT, Toulouse, FR
A. Shakya, Tribhuvan University, Nepal
C. Shimizu, Kansas State University, US
Y. Wang, Texas Southern University, US
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