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Research Infrastructure on Consumer Health and Food Intake using E-science with Linked Data Sharing

Deliverables

Overall Synthesis report

On a harmonized approach the information of WP5-10 will be synthesised for WP11-13M33

Report on synthesis of the findings for WP5-7

On a harmonized approach the information of WP5-7 will be synthesised M32

Report on the synthesis of the findings for WP8-WP10

On a harmonized approach the information of WP8-10 will be synthesised M30

Minutes of the Plenary Project Meetings and Project Advisory Board Meetings(M3-M36)

Actions and decisions of all official RICHFIELDS meeting will be described. M3, 10, 19, 25 & 36

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Publications

Designing a research infrastructure on dietary intake and its determinants

Author(s): M.-J. Bogaardt, A. Geelen, K. Zimmermann, P. Finglas, M. M. Raats, B. E. Mikkelsen, K. J. Poppe, P. van't Veer
Published in: Nutrition Bulletin, Issue 43/3, 2018, Page(s) 301-309, ISSN 1467-3010
DOI: 10.1111/nbu.12342

StandFood: Standardization of Foods Using a Semi-Automatic System for Classifying and Describing Foods According to FoodEx2

Author(s): Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak
Published in: Nutrients, Issue 9/6, 2017, Page(s) 542, ISSN 2072-6643
DOI: 10.3390/nu9060542

User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research

Author(s): Marcus Maringer, Pieter van’t Veer, Naomi Klepacz, Muriel C. D. Verain, Anne Normann, Suzanne Ekman, Lada Timotijevic, Monique M. Raats, Anouk Geelen
Published in: Nutrition Journal, Issue 17/1, 2018, ISSN 1475-2891
DOI: 10.1186/s12937-018-0366-6

NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment

Author(s): Simon Mezgec, Barbara Koroušić Seljak
Published in: Nutrients, Issue 9/7, 2017, Page(s) 657, ISSN 2072-6643
DOI: 10.3390/nu9070657

Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment

Author(s): Simon Mezgec, Tome Eftimov, Tamara Bucher, Barbara Koroušić Seljak
Published in: Public Health Nutrition, 2018, Page(s) 1-10, ISSN 1368-9800
DOI: 10.1017/S1368980018000708

A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations

Author(s): Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec
Published in: PLOS ONE, Issue 12/6, 2017, Page(s) e0179488, ISSN 1932-6203
DOI: 10.1371/journal.pone.0179488

IUNS. 21st International Congress of Nutrition. Buenos Aires, Argentina, October 15-20, 2017: Abstracts

Author(s): Mikkelsen, BE
Published in: Annals of Nutrition and Metabolism, Issue 71/2, 2017, Page(s) 1-1433, ISSN 0250-6807
DOI: 10.1159/000480486

Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology

Author(s): Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec
Published in: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Issue Volume: 2, KEOD (11/2017), 2017, Page(s) 203-210
DOI: 10.5220/0006504302030210

Small devices for Big data – business driven smart technologies to collect data on consumer

Author(s): Haris Hondo, Erik Kaunisto, Kwabena Titi Ofei, Bent Egberg Mikkelsen, Sophie Hieke
Published in: Proceedings of ICCAS 2017, 2017

Measuring food choice and consumption behaviour with real, fake or virtual food realities

Author(s): Bent Egberg Mikkelsen, T Bucher, S Hieke, MCD Verain, J van der Puttelaar
Published in: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, Page(s) p. 88-95

The potential of Enriching Food Consumption Data by use of Consumer Generated Data: a case from RICHFIELDS

Author(s): Jos van den Puttelaar, Muriel Verain, Marleen Onwezen
Published in: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016

Linked Data Sharing to Foster Consumer Based Science Enabled by Richfields: A Research Infrastructure on Consumer Health and Food

Author(s): Karin Zimmermann, Muriel Verain, Marc-Jeroen Bogaardt,Anouk Geelen, Paul Finglas, Pieter van ‘t Veer, Monique Raats, Bent Egberg Mikkelsen, Krijn Poppe
Published in: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016

The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems

Author(s): Tome Eftimov, Gordana Ispirova, Peter Korošec, Barbara Koroušić Seljak
Published in: Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018, Page(s) 315-322
DOI: 10.5220/0006951703150322

Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach

Author(s): Tome Eftimov, Peter Korosec, Barbara Korousic Seljak
Published in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Page(s) 1-8
DOI: 10.1109/SSCI.2017.8280910

A semi-automatic system for classifying and describing foods according to foodex2

Author(s): Tome Eftimov, Gordana Ispirova, Barbara Koroušić Seljak, Peter Korošec
Published in: 3rd IMEKOFOODS Conference: Metrology Promoting Harmonization and Standardization in Food and Nutrition, 2017, Page(s) 13-16

Crowdsourcing of Big Food Data: a case study on supermarket purchase behavior of a four-member Danish household from 2007 until 2015




"Can business generated big food data be used to understand food consumption behaviour and can a research infrastructure be generated around such data?(#110"




"Measuring food behaviour the smart way - case insights from the implementation of Foodscapelab (#114)"




"Your sales receipt an help research (""Din kassebon kan gavne forskning”)"

Author(s): Søren Beukel Bach
Published in: Nordjyske Stiftstidende, 2016