Identifying Relevant Fragments of Learner Profile on the Semantic Web
作者： Peter Dolog
DOI:
关键词: Semantic Web Rule Language 、 Semantic search 、 Semantic computing 、 Semantic Web Stack 、 Semantic analytics 、 Social Semantic Web 、 Computer science 、 Data Web 、 Semantic Web 、 Natural language processing 、 Artificial intelligence
摘要: The aim of this paper is to discuss how identify distributed learner profile fragments on the semantic web. are modelled employing vocabulary suggested by several standards for profile. maintained as standalone networks objects in RDF. instances concepts labeled terms from standards. identification needed example adaptation services performed unification records different sites. Queries sent edutella P2P network provide virtual views which connect those stand alone object networks. queries can be constructed according specific needs personalization techniques, provided a learning network.
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