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Hierarchical Indexing and Semantic Annotation for Document Representations in Community-Web Virtual Libraries

机译:社区Web虚拟库中文档表示的分层索引和语义注释

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In the context of a virtual library of scientific papers, the work reported here addresses an original method of representing documents for information retrieval (IR) use. The approach we propose aims at exploiting the logical structure of documents in order to index them hierarchically. It also use ontology to form content-based and context-based annotations. These semantic annotations make it possible to associate information additional to the documents, to specify certain parts of this one and finally to share them within the framework of a working group. Finally, an adaptation technique for exploiting the scientific papers indexes is proposed in order to satisfy actors' needs.
机译:在科学论文的虚拟库的背景下,这里的工作报告了代表信息检索(IR)使用的文件的原始方法。我们提出的方法旨在利用文档的逻辑结构,以便分层索引它们。它还使用本体论形成基于内容和基于上下文的注释。这些语义注释使得可以将其他信息与文档相关联,以指定此一个的某些部分,最后在工作组的框架内共享它们。最后,提出了一种用于利用科学论文指标的适应技术,以满足演员的需求。

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