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期刊论文

Finding Important Vocabulary Within Ontology

瞿裕忠Xiang Zhang Hongda Li and Yuzhong Qu

ASWC 2006, LNCS 4185, pp. 106-112, 2006.,-0001,():

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摘要/描述

In current Semantic Web community, some researches have been done on ranking ontologies, while very little is paid to ranking vocabularies within ontology. However, finding important vocabularies within a given ontology will bring benefits to ontology indexing, ontology understanding and even ranking vocabularies from a global view. In this paper, Vocabulary Dependency Graph (VDG) is proposed to model the dependencies among vocabularies within an ontology, and Textual Score of Vocabulary (TSV) is established based on the idea of virtual documents. And then a Double Focused PageRank algorithm is applied on VDG and TSV to rank vocabulary within ontology. Primary experiments demonstrate that our approach turns out to be useful in finding important vocabularies within ontology.

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版权说明:以下全部内容由瞿裕忠上传于   2009年01月22日 17时10分11秒,版权归本人所有。

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