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:

DECOR2021@ICDE submission link

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.

Special All these are tailored to be aligned with ICDE 2021 topics.

Special events:
 2 Keynote Speakers:
   - Charles Spencer, Professor of Experimental Psychology and Head of the Cross-modal Research Laboratory, Oxford University.   
   - Second speaker to be announced soon

Interactive Session: Mulsimedia 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

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

Estêvão Bissoli Saleme, Institute Federal do Espírito Santo (IFES), Brazil

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
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

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


Y-K Ng, Brigham Young University, US

A. Nijholt, University of Twente, NL

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 Zürich, Switzerland 

Bhavani Thuraisingham. The University of Texas at Dallas, USA

Yoko Yamakata. The University of Tokyo, Japan

Aidong Zhang. University of Virginia, Charlottesville, USA