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An ontology-based framework for enhancing personalized content and retrieval information

Abstract : Providing the user with tailored and personalized services has a paramount importance when developing an interactive system. However, anticipating his interest remains another challenge to be overcame. This is related on one hand, to the lack of specific computational modeling for knowledge discovery, and on other hand, to fitting correctly with what the user requires. In this paper, a new method based on user profile ontology built through ontology modularization is proposed. This latter, is composed of explicit and implicit user's preferences. The discovering of such preferences is achieved by a new method of content based ontology that aims to take into consideration both the hierarchical and the non-hierarchical (semantic) relations jointly with related properties. However, the extraction phase is gained by ontological rules SWRL which are extended through the Spreading activation technique in order to infer as much as possible new knowledge. The proposal is applied in the public transport system to retrieve the most suitable path. The assessment phase shows that this method can provide meaningful personalized results.
Keywords : Cognition Taxonomy
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Aroua Essayeh, Mourad Abed. An ontology-based framework for enhancing personalized content and retrieval information. 11th International Conference on Research Challenges in Information Science (RCIS), May 2017, Brighton, United Kingdom. pp.276-285, ⟨10.1109/RCIS.2017.7956547⟩. ⟨hal-03388431⟩



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