Recommandation ontologique multicrit\`ere pour la m\'etrologie
Information Retrieval
2020-05-26 v5
Abstract
Matchmaking and information ranking are helping process for users, by offering them the best answers possible at their request. When there is no exact answer, giving them the closest proposition available is an efficient upgrade of that helping process. With a reasearch platform on metrology as a framework, we will discuss about ranking with knowledge representation, with an approach based on Description Logic, ontologies and multricriteria comparison. We present a reasonning to compare each proposition with the other, with semantic and syntaxic difference, by troncating the information in distinct component.
Cite
@article{arxiv.2004.00291,
title = {Recommandation ontologique multicrit\`ere pour la m\'etrologie},
author = {Axel Mascaro and Christophe Rey},
journal= {arXiv preprint arXiv:2004.00291},
year = {2020}
}
Comments
9 pages, in French, for conference RJCIA 2020