posted by organizer: TomeEftimov || 8340 views || tracked by 5 users: [display]

BFNDMA 2020 : Big Food and Nutrition Data Management and Analysis


When Dec 10, 2020 - Dec 13, 2020
Where Atlanta, GA, USA
Submission Deadline Oct 1, 2020
Notification Due Nov 1, 2020
Final Version Due Nov 25, 2020
Categories    semantic web   data mining   artificial intelligence   food and nutrition science

Call For Papers

We are organizing the workshop “Big Food and Nutrition Data Management and Analysis (BFNDMA 2020)” at the 2020 IEEE International Conference on Big Data ( in Atlanta, GA, USA.


In the last decades, a great amount of work has been done in healthcare predictive modelling. All this work is made possible by the existence of several available biomedical vocabularies and standards, which play a crucial role for understanding health information, together with a large amount of health data. However, in 2019, Lancer Planetary Health published that starting from year 2019 the focus will be on the links between food systems, human health, and the environment. Despite the large number of available resources for the health domain, there is a limited number of resources that can be utilized in the food and nutrition domain. There are only a few rule-based food named-entity recognition systems for food and nutrient concepts extraction. There are also several food ontologies that exist, each developed for a specific application scenario, with preliminary results that focus on links between these ontologies that can be used for food and nutrition data management. The BFNDMA 2020 is a continuation of the successful workshop BFNDMA 2019 ( organized at IEEE Big Data 2019 in Los Angeles, California, USA.

In this workshop, we aim to focus primarily on methodologies for big data management and analysis for food and nutrition data. BFNDMA 2020 will consider original and unpublished research articles that propose bold steps towards addressing the challenges of data management and analysis for food and nutrition data and exploring the relation between food systems and the human health and environment.


- Information retrieval, information extraction, natural language processing techniques and artificial intelligence for food and nutrition science;
- Data normalization;
- Knowledge representation;
- Ontologies, vocabularies and ontology design patterns, with a focus on describing the modelling process;
- Crowdsourcing task designs that have been used and can be (re)used for building resources such as gold standards;
- Data mining and knowledge discovery
- Analytics, including social media, text, or structured datasets;
- Recommendation of food, menu, or food- and nutrition-related habits;
- Policy analysis and recommendations relevant to citizens and governments;
- Wearable devices, quantified-self data for food, nutrition, and health.


To be announced ...


Please submit a full-length paper (up to 10 page IEEE 2-column format), or short or position paper (2-4 page IEEE 2-column format), through the online submission system.
Paper Submission Page Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below).


Paper submission: Oct 01, 2020
Decision notification: Nov 01, 2020
Camera-ready submission: Nov 25, 2020
Workshop: Dec 10-13, 2020


- Tome Eftimov, PhD, Jožef Stefan Institute, Ljubljana, Slovenia
- Gorjan Popovski, Jožef Stefan Institute, Ljubljana, Slovenia
- Panče Panov, PhD, Jožef Stefan Institute, Ljubljana, Slovenia
- Prof. Barbara Koroušić Seljak, PhD, Jožef Stefan Institute, Ljubljana, Slovenia

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