Analyse de concepts formels guidée par des connaissances de domaine : Application à la découverte de ressources génomiques sur le Web

Abstract : This thesis deals with knowledge-based biological data sources discovery. First, domain ontologies are used for encoding metadata describing the content of biological data sources. Then the data sources are organized into a concept lattice according to their common metadata. The data source discovery process can be performed either by navigation into the obtained concept lattice or by defining queries to be inserted into the concept lattice. In both cases, domain knowledge can be used to guide the discovery. In the case of navigation, domain knowledge is used to reduce the search space and/or to guide the navigation to some concepts rather than others. In the case of querying, domain knowledge is used to express preferences between the query keywords or to refine the query. In order to take more advantage of domain knowledge, we introduce many-valued concept lattices. Several many-valued concept lattices with different levels of precision can be built from the data sources metadata set based on domain knowledge. The use of such many-valued concept lattices allows to improve the discovery process in its both forms. In the case of navigation, it is possible to consider more than one lattice and to dynamically switch from one lattice to another in a zooming operation. In the case of querying, more complex expressive queries can be defined and inserted into the many-valued concept lattice.
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Nizar Messaï. Analyse de concepts formels guidée par des connaissances de domaine : Application à la découverte de ressources génomiques sur le Web. Autre [cs.OH]. Université Henri Poincaré - Nancy 1, 2009. Français. ⟨NNT : 2009NAN10018⟩. ⟨tel-01748494⟩

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