a proposal for stable semantic metrics based on evolving ontologies

	a proposal for stable semantic metrics based on evolving ontologies
	Ma Yinglong; Ma Xinyv; Liu Shaohua; Jin Beihong
	2009
会议名称	1st IITA International Joint Conference on Artificial Intelligence, JCAI 2009
会议录名称	IJCAI International Joint Conference on Artificial Intelligence
会议日期	April 25,
会议地点	Hainan Island, China
收录类别	EI
出版地	United States
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
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.
关键词	Adhesion Artificial Intelligence Metric System Semantics
主办者	Engineering Technology Press; IEEE SMC TC on Education Technology and Training; Intell. Inf. Technol. Appl. Res. Assoc.
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8524
专题	软件工程技术研究开发中心
推荐引用方式 GB/T 7714	Ma Yinglong,Ma Xinyv,Liu Shaohua,et al. a proposal for stable semantic metrics based on evolving ontologies[C]. United States,2009.