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Research on Collaborative Annotation in Semantic Web Environment Based on Ontology Reasoning

机译:基于本体推理的语义Web环境中协同标注研究

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Based on current Web collaborative annotation systems, the paper first analyzes the common features of tags in documents as well as context-awareness to extend the concept of tags and make mapping between ontology, then uses ontology reasoning to enrich the semantics of tags, to capture implied semantic information, and to find out the relationships between documents, it finally detects pseudo-relevance among different documents in order to improve the accuracy of knowledge retrieval and knowledge recommendation as well as the flow of knowledge among subjects.
机译:基于当前的Web协同注释系统,本文首先分析文档中标签的共同特征以及上下文感知,以扩展标签的概念并在本体之间进行映射,然后使用本体推理来丰富标签的语义,以进行捕获。隐含语义信息,并找出文档之间的关系,最后检测不同文档之间的伪相关性,以提高知识检索和知识推荐的准确性以及学科之间的知识流。

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