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Titre: | Handling qualitative conditional preference queries in SPARQL: Possibilistic logic approach |
Auteur(s): | Touazi, Faycal Boustil, Amel |
Mots-clés: | SPARQL Preferences Conditional qualitative preference Possibilistic logic |
Date de publication: | 2023 |
Résumé: | Because of the rise in data volume of knowledge bases that are being published
as a result of Open Data initiatives, new approaches are required to assist users
in locating the items that most closely matches their preference criteria. In many
approaches, the user is called to supply quantitative weights that may not be
known in advance to manage the ranking of results. Contrary to the quantitative
technique, preference criteria are sometimes more intuitive and can be conveyed
more readily under the qualitative approach. We are interested in this paper
to the problem of evaluating SPARQL qualitative preference queries over user
preferences in SPARQL. Many approaches address this problem based on dif-
ferent frameworks as CP-net, skyline, fuzzy set and top-k. This article outlines a
novel approach for dealing with SPARQL preference queries, where preferences
are represented through symbolic weights using the possibilistic logic frame-
work. It is possible to manage symbolic weights without using numerical values
where a partial ordering is used instead. This approach is compared to numerous
other approaches, including those based on skylines, fuzzy sets, and CP-nets |
URI/URL: | DOI: https://doi.org/10.21203/rs.3.rs-2887054/v1 http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11506 |
Collection(s) : | Publications Internationales
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