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Ontology Mapping Model of Mining Literature Knowledge Element Object

机译:挖掘文献知识元素对象的本体映射模型

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The model to express knowledge element object on the semantics relationship unit existing within knowledge fragments of the literature is proposed, and ontology mapping models between the ontology of literature topic factors and the ontology of knowledge elements is explored in this paper. To solve the current literature-based knowledge discovery methods difficult to overcome two key problems: 1) Reasoning object is not reflected in the semantic relations unit of knowledge fragments, loosing the true semantic relationships. 2) Reasoning object selection limited only the title or abstracts in the literature which result in the loss of a large number of objects of reasoning and knowledge discovery opportunities. The illustration conducted indicates that ontology mapping model of mining literature knowledge element object is an effective method.
机译:提出了一种在文献知识片段中存在的语义关系单元上表达知识元素对象的模型,并探讨了文学话题因子本体与知识元素本体之间的本体映射模型。解决目前基于文献的知识发现方法难以克服的两个关键问题:1)推理对象没有反映在知识片段的语义关系单元中,失去了真正的语义关系。 2)推理对象的选择仅限制了文献中的标题或摘要,从而导致大量推理和知识发现对象丢失。实例表明,挖掘文献知识元素对象的本体映射模型是一种有效的方法。

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