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

机译:社区Web虚拟图书馆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:在虚拟的科学论文图书馆的背景下,此处报告的工作着眼于代表信息检索(IR)使用的文档的原始方法。我们提出的方法旨在利用文档的逻辑结构,以便对它们进行分层索引。它还使用本体来形成基于内容和基于上下文的注释。这些语义注释使将附加的信息与文档相关联,从而可以指定文档的某些部分,并最终在工作组的框架内共享它们。最后,提出了一种适应科学论文指标的适应技术,以满足参与者的需求。

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