Ontology-based User Model for Personalized Search in a Social Network
Maha Maalej, Achraf Mtibaa, Faı̈ez Gargouri · Research in Computing Science · 2018
Nowadays, internet users are faced with a big quantity of information on the Web.This leads to a difficulty in obtaining information relevant to their needs and adapted to their contexts.In order to better solve these problems, personalized systems where a user model contains information about user context and profile have arisen.As a means to represent user information, ontology constitutes a better technique of Semantic Web that improves the way to maintain user information.In this paper, we propose an approach through that we construct the ontological user model in a first time and we integrate this model in a personalized system in a second time.In this context, we present main concepts of our ontology.We have enriched our ontology with SWRL rules on the one hand and FOAF ontology concepts on the other hand.This has the advantage of deducing services adapted to the user through a personalized system.After that, we expose functionalities of our system with evaluation.