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In this paper, we present a new variant to show results of information retrieval process. Search results proposed here are in the form of textual abstract instead of returning a list of links pointing to relevant web documents. Our current work materializes collaboration between two independent axes: Semantic Web and Fuzzy Logic. The automatic abstract generation represents an extension of our previous...
With the proliferation of textual data on the web, efficient access to relevant information to meet the user's needs has become an important problem in the information retrieval tasks. This problem is specially due to the short queries submitted usually by users to an information retrieval system to describe their needs.
Identifying the Genre of an audiovisual document is among the major challenges for multimedia retrieval. Indeed, the lack of semantic metadata extraction makes these resources underused in the retrieval process. To overcome these difficulties, the extraction of semantic descriptions requires an analysis of the audiovisual document's content. The automation of the process of describing audiovisual...
In recent years, the development of legal ontologies has increased significantly with the diversity of their applications known as complicated due to the complexity of their domain. In the preliminary part of this paper, we introduce the major steps in the learning process, then we present some works interested in Arabic ontology learning. The rest of the paper serves to propose our approach for ontology...
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