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Authors: Tome Eftimov 1 ; Gordana Ispirova 2 ; Paul Finglas 3 ; Peter Korošec 4 and Barbara Koroušić Seljak 1

Affiliations: 1 Computer Systems Department, Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana and Slovenia ; 2 Computer Systems Department, Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia, Jožef Stefan International Postgraduate School, Jamova cesta 39, 1000 Ljubljana and Slovenia ; 3 Quadram Institute Bioscience, Norwich research Park, Norwich, Norfolk, NR4 7UA and U.K. ; 4 Computer Systems Department, Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia, Faculty of Mathematics, Natural Sciences and Information Technologies, Glagoljaška ulica 8, 6000 Koper and Slovenia

ISBN: 978-989-758-330-8

Keyword(s): E-health, Ontology Learning, Part of Speech Tagging, Personalized Dietary Web Service, Semantic Web, String Similarity.

Abstract: Unhealthy diet can lead to diseases such as diabetes, allergies, and some types of cancer, among other health-related problems. In order to help users and clinical dietitians access the relevant knowledge about food and nutrition data in e-health systems that use different data sources, ontologies about food and related domains, such as clinical medicine, individual user profile, etc., are very important in providing successful and smart e-health systems. In this paper we present an ontology-learning process using personalized dietary web services that are dealing with food-related data and knowledge rules. The result of the ontology-learning process is an OWL ontology that is developed in a semi-automatic way and can be used for the harmonization of personalized dietary web services and will enable researchers to share information in this domain. In addition, it can also use aggregated data from different sources to provide new knowledge and help people live healthier lives.

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Paper citation in several formats:
Eftimov, T.; Ispirova, G.; Finglas, P.; Korošec, P. and Seljak, B. (2018). Quisper Ontology Learning from Personalized Dietary Web Services.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-330-8, pages 279-286. DOI: 10.5220/0006951302790286

@conference{keod18,
author={Tome Eftimov. and Gordana Ispirova. and Paul Finglas. and Peter Korošec. and Barbara Koroušić Seljak.},
title={Quisper Ontology Learning from Personalized Dietary Web Services},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2018},
pages={279-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006951302790286},
isbn={978-989-758-330-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Quisper Ontology Learning from Personalized Dietary Web Services
SN - 978-989-758-330-8
AU - Eftimov, T.
AU - Ispirova, G.
AU - Finglas, P.
AU - Korošec, P.
AU - Seljak, B.
PY - 2018
SP - 279
EP - 286
DO - 10.5220/0006951302790286

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