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- W562899649 abstract "The present thesis explores the use of a semantic approach for indexing resources that are shared among a community of users who are scattered in a peer-to-peer network. The thesis contributes to the studies of Semantic Indexing approaches that can be used both with resources owned within personal memories, and with resources that are shared in a distributed network. Because the system is generic, the exact nature of the distributed community can be left undefined but our narrower focus is on applications in the e-learning domain. To address the problem that resources have different types, an indexing system is proposed that is based on the user point of view and is performed manually. Indeed, because indices refer to the subjective information that is not necessarily contained in the resources or that are hard to extract from documents that are not textual, the indexing of such type of resources can only be done in an interactive way. We show that a unique approach can be taken that allows one to store documents in personal or collective memories. The approach requires suitable browsing interfaces for accessing ontologies that satisfy and facilitate indexing. We therefore also define an Indexing Patterns system for managing ontologies that can be utilized for creating indices. The method is intended to facilitate the browsing of ontologies by showing only that part of the ontology that is useful for indexing and can be employed by users of various operating systems. A related problem that we address concerns the difference between the publication context and the retrieval context. The solution poroposed in this thesis foresees different retrieval situations and queries during the time a resource is published and builds the index based on those assumptions. The intended practical application encapsulates in a transparent manner the functionalities that the user requires for managing the resources. The development of a prototype is guided by Architectural and Implementation descriptions of the indexing system, both of which are described in the thesis. Although the solution we offer is generic and can be used by different user communities, the approach benefits Domain Specific Communities in particular, by assisting specilized loose communities that are structured as peer to peer networks and that allow publishing and searching of documents." @default.
- W562899649 created "2016-06-24" @default.
- W562899649 creator A5031700222 @default.
- W562899649 date "2011-01-01" @default.
- W562899649 modified "2023-09-24" @default.
- W562899649 title "Modèle d'indexation sémantique de ressources de mémoires personnelle et collective basé sur une approche pair à pair" @default.
- W562899649 hasPublicationYear "2011" @default.
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