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  • 标题:Intelligent Agents for the Semantic Annotation of Educational Resources
  • 本地全文:下载
  • 作者:Aziz ORICHE ; Abderrahman CHEKRY ; Mohamed KHALDI
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2013
  • 卷号:3
  • 期号:5
  • 页码:96-104
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Our objective is to describe the content of educational resources semantically annotating with unambiguous information to facilitate the exploitation of these resources by software agents, these resources are delimited by tags (XHTML, XML), and are well structured. We propose a semantic annotation system based on three intelligent agents to manage semantic annotations educational resources, these annotations are guided by domain ontology. The domain ontology contains a set of concepts, relationships between these concepts and their properties. Each concept of ontology some have one or more (synonyms) to represent words. All these terms are used to describe instances of a domain concept; these terms are more focused in the description of concepts. All these concepts are validated by the domain expert. Taking into account that the teaching materials are in HTML or XML whose structure is a DOM (Document Object Model) we seek to identify the terms of educational concepts in the nodes of the tree, extract all these concepts while respect of the domain ontology. The terms or educational concepts candidates are associated with terms and concepts of the ontology to determine appropriate concepts to annotate nodes in which they are located
  • 关键词:Semantic Annotation; Metadata; Multi-agent ;systems; Ontology
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