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Scope and aim

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 (http://cs.ijs.si/bfndma/BFNDMA.html) 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 BFNDMA 2020 will consider original and unpublished research articles that propose bold steps towards addressing the challenges of data management and analysis for food and nutrition data and exploring the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.




Topics of Interest related to Food and Nutrition

  • 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.




Invited Speakers

To be announced ...




Submission

    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).

    Formatting instructions
    Microsoft Word
    LaTex Formatting Macros


    In order to participate to this workshop, full or student registration of IEEE BigData 2020 is needed.




Important dates

  • Paper submission: Oct 15, 2020
  • Decision notification: Nov 1, 2020
  • Camera-ready submission: Nov 25, 2020
  • Workshop: Dec 10-13, 2020



Organizers

Tome Eftimov, PhD

Computer Systems Department,

Jožef Stefan Institute, Ljubljana, Slovenia

Gorjan Popovski

Computer Systems Department,

Jožef Stefan Institute, Ljubljana, Slovenia

Panče Panov, PhD

Department of Knowledge Technologies

Jožef Stefan Institute, Ljubljana, Slovenia

Prof. Barbara Koroušić Seljak, PhD

Computer Systems Department,

Jožef Stefan Institute, Ljubljana, Slovenia




Duccio Cavalieri, University of Florence, IT
Hristijan Gjoreski, Ss. Cyril and Methodius University, MK
Larisa Soldatova, Goldsmiths College, UK
Martin Gjoreski, Jožef Stefan Institute, SI
Dragi Kocev, Jožef Stefan Institute, SI
Fabio Mainardi, Nestle Institute of Health Science S.A, Lausanne, CH
Bibek Paudel, Stanford University, CA, USA
Petar Ristoski, IBM Research, CA, USA
Peter Korošec, Jožef Stefan Institute, SI
Riste Stojanov, Ss. Cyril and Methodius University, MK
Monika Simjanoska, Ss. Cyril and Methodius University, MK
Maria Traka, Quadram Institute Bioscience, UK
Eva Tuba, Singidunum University, SRB



To be announced ...