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Theses

Une approche de personnalisation de la recherche d'information basée sur le Web sémantique

Abstract : This PhD thesis reports on a recent study in the field of information retrieval (IR), more specifically personalized IR. Traditional IR uses various methods and approaches. However, given the proliferation of data from different sources, traditional IR is no longer considered to be an effective means of meeting users’ requirements. (‘Users’ here refers to the main actor in an IR system.) In this thesis, we address two main problems related to personalized IR: (1) the development and implementation of a user model; and (2) the formulation of a search query to improve the results returned to users according to their perceptions and preferences. To achieve these goals, we propose a semantic information search approach, based on the use of semantic information and guided by ontologies. The contribution of our work is threefold. First, it models and constructs user profiles following a modular ontological approach; this model allows the capture of information related to the user, and models the data according to the semantic approach so that the data can be re-used for reasoning and inference tasks. Second, it provides evidence for reformulating a query by exploiting concepts, hierarchical and non-hierarchical relationships between concepts and properties. Third, based on our findings, we recommend search results that are informed by the user’s communities, built by the improved unsupervised classification approach called the ‘Fuzzy K-mode’. These communities are also semantically modeled with modular profile ontology. To validate our proposed approach, we implemented a system for searching the itineraries for public transport. Finally, this thesis proposes research perspectives based on the limitations we encountered.
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Submitted on : Tuesday, October 5, 2021 - 2:59:34 PM
Last modification on : Tuesday, October 19, 2021 - 11:38:41 AM

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  • HAL Id : tel-03366070, version 1

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Aroua Essayeh. Une approche de personnalisation de la recherche d'information basée sur le Web sémantique. Informatique [cs]. Université de Valenciennes et du Hainaut-Cambrésis, 2018. Français. ⟨NNT : 2018VALE0003⟩. ⟨tel-03366070⟩

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