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题名:
a proposal for stable semantic metrics based on evolving ontologies
作者: Ma Yinglong ; Ma Xinyv ; Liu Shaohua ; Jin Beihong
会议文集: IJCAI International Joint Conference on Artificial Intelligence
会议名称: 1st IITA International Joint Conference on Artificial Intelligence, JCAI 2009
会议日期: April 25,
出版日期: 2009
会议地点: Hainan Island, China
关键词: Adhesion ; Artificial intelligence ; Metric system ; Semantics
出版地: United States
收录类别: EI
ISSN: 10450823
ISBN: 9780769536156
部门归属: (1) School of Computer Science and Technology, North China Electric Power University, Beijing 102206, China; (2) Institute of Software, Chinese Academy of Sciences, PBox8718, Beijing 100190, China
主办者: Engineering Technology Press; IEEE SMC TC on Education Technology and Training; Intell. Inf. Technol. Appl. Res. Assoc.
英文摘要: In this paper, we propose a set of semantic cohesion metrics for ontology measurement, which can be used to assess the quality of evolving ontologies in the context of dynamic and changing Web. We argue that these metrics are stable and can be used to measure ontology semantics rather than ontology structures. Measuring ontology quality with semantic inconsistencies caused by ontology evolutions, is mainly considered in this paper. The proposed semantic cohesion metrics are theoretically and empirically validated. © 2009 IEEE.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8524
Appears in Collections:软件工程技术研究开发中心 _会议论文

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Recommended Citation:
Ma Yinglong,Ma Xinyv,Liu Shaohua,et al. a proposal for stable semantic metrics based on evolving ontologies[C]. 见:1st IITA International Joint Conference on Artificial Intelligence, JCAI 2009. Hainan Island, China. April 25,.
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