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Authors: Gordana Ispirova 1 ; Tome Eftimov 1 ; Barbara Koroušić Seljak 2 and Peter Korošec 3

Affiliations: 1 Jožef Stefan Institute and Jožef Stefan International Postgraduate School, Slovenia ; 2 Jožef Stefan Institute, Slovenia ; 3 Jožef Stefan Institute, Faculty of Mathematics and Natural Science and Information Technologies, Slovenia

ISBN: 978-989-758-272-1

Keyword(s): Semantic Web, Food Domain Ontology, Food Composition Data, Text Similarity, Text Normalization.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Collaboration and e-Services ; Domain Analysis and Modeling ; e-Business ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontology Sharing and Reuse ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: Food composition data are detailed sets of information on food components, providing values for energy and nutrients, food classifiers and descriptors. The data of this kind is presented in food composition databases, which are a powerful source of knowledge. Food composition databases may differ in their structure between countries, which makes it difficult to connect them and preferably compare them in order to borrow missing values. In this paper, we present a method for mapping food composition data from various sources to a terminological resource-a food domain ontology. An existing ontology used for the mapping was extended and modelled to cover a larger portion of the food domain. The method was evaluated on two food composition databases: EuroFIR and USDA.

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Paper citation in several formats:
Ispirova, G.; Eftimov, T.; Koroušić Seljak, B. and Korošec, P. (2017). Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 203-210. DOI: 10.5220/0006504302030210

@conference{keod17,
author={Gordana Ispirova. and Tome Eftimov. and Barbara Koroušić Seljak. and Peter Korošec.},
title={Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={203-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006504302030210},
isbn={978-989-758-272-1},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology
SN - 978-989-758-272-1
AU - Ispirova, G.
AU - Eftimov, T.
AU - Koroušić Seljak, B.
AU - Korošec, P.
PY - 2017
SP - 203
EP - 210
DO - 10.5220/0006504302030210

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