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Authors: Tome Eftimov 1 and Barbara Korousicg Seljak 2

Affiliations: 1 Jožef Stefan Institute and Jozef Stefan International Postgraduate School, Slovenia ; 2 Jožef Stefan Institute, Slovenia

Keyword(s): Part of Speech Tagging, Probability Model, Information Retrieval, Food Composition Databases, Ingredient Matching.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Pre-Processing and Post-Processing for Data Mining ; Symbolic Systems

Abstract: In this paper, we present a new method that can be used for matching recipe ingredients extracted from the Internet to nutritional data from food composition databases (FCDBs). The method uses part of speech tagging (POS tagging) to capture the information from the names of the ingredients and the names of the food analyses from FCDBs. Then, probability weighted model is presented, which takes into account the information from POS tagging to assign the weight on each match and the match with the highest weight is used as the most relevant one and can be used for further analyses. We evaluated our method using a collection of 721 lunch recipes, from which we extracted 1,615 different ingredients and the result showed that our method can match 91.82% of the ingredients with the FCDB.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Eftimov, T. and Korousicg Seljak, B. (2015). POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, (IC3K 2015) ISBN 978-989-758-158-8; ISSN 2184-3228, pages 330-336. DOI: 10.5220/0005612303300336

@conference{kdir15,
author={Tome Eftimov. and Barbara {Korousicg Seljak}.},
title={POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, (IC3K 2015)},
year={2015},
pages={330-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005612303300336},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, (IC3K 2015)
TI - POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data
SN - 978-989-758-158-8
IS - 2184-3228
AU - Eftimov, T.
AU - Korousicg Seljak, B.
PY - 2015
SP - 330
EP - 336
DO - 10.5220/0005612303300336