A Generic Approach Based on Linked Data to Enhance Web Information Retrieval and Increase User Satisfaction

نویسنده

  • Mazen Alsarem
چکیده

Using Linked Data for improving information retrieval is becoming an important field of research, especially with the widespread use of semantic search engines. In this paper we propose using the Linked Data for improving user satisfaction during his interactions with an IR system. We want to provide the users with more intelligent snippets. In order to achieve this goal, we focus on graph ranking after having transformed the RDF graphs into a bipartite graph representation. RÉSUMÉ. De nombreux travaux s’intéressent à l’utilisation des Linked Data pour améliorer la recherche d’information (ex. moteurs de recherche sémantiques, etc.). Dans ce travail, nous proposons de les utiliser pour améliorer la satisfaction de l’utilisateur durant ses interactions avec un système de RI. Nous voulons offrir à l’utilisateur des snippets adaptés à l’expression de son besoin d’information. Pour ce faire, nous nous concentrons sur l’appariement de graphes RDF, après les avoir transformé en graphes bipartis.

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تاریخ انتشار 2013