ONTOLOGY-BASED RECOMMENDER SYSTEM OF ECONOMIC ARTICLES

David Werner, Christophe Cruz, Christophe Nicolle

Abstract

Decision makers need economical information to drive their decisions. The Company Actualis SARL is specialized in the production and distribution of a press review about French regional economic actors. This economic review represents for a client a prospecting tool on partners and competitors. To reduce the overload of useless information, the company is moving towards a customized review for each customer. Three issues appear to achieve this goal. First, how to identify the elements in the text in order to extract objects that match with the recommendation's criteria presented? Second, How to define the structure of these objects, relationships and articles in order to provide a source of knowledge usable by the extraction process to produce new knowledge from articles? The latter issue is the feedback on customer experience to identify the quality of distributed information in real-time and to improve the relevance of the recommendations. This paper presents a new type of recommendation based on the semantic description of both articles and user profile.

References

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Paper Citation


in Harvard Style

Werner D., Cruz C. and Nicolle C. (2012). ONTOLOGY-BASED RECOMMENDER SYSTEM OF ECONOMIC ARTICLES . In Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8565-08-2, pages 725-728. DOI: 10.5220/0003933307250728


in Bibtex Style

@conference{webist12,
author={David Werner and Christophe Cruz and Christophe Nicolle},
title={ONTOLOGY-BASED RECOMMENDER SYSTEM OF ECONOMIC ARTICLES},
booktitle={Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2012},
pages={725-728},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003933307250728},
isbn={978-989-8565-08-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - ONTOLOGY-BASED RECOMMENDER SYSTEM OF ECONOMIC ARTICLES
SN - 978-989-8565-08-2
AU - Werner D.
AU - Cruz C.
AU - Nicolle C.
PY - 2012
SP - 725
EP - 728
DO - 10.5220/0003933307250728