semantic oriented ontology cohesion metrics for ontology-based systems

	semantic oriented ontology cohesion metrics for ontology-based systems
	Ma Yinglong; Jin Beihong; Feng Yulin
	2010
发表期刊	The Journal of Systems and Software
卷号	83 期号:1 页码:143-152
摘要	Ontologies play a core role to provide shared knowledge models to semantic-driven applications targeted by Semantic Web. Ontology metrics become an important area because they can help ontology engineers to assess ontology and better control project management and development of ontology based systems, and therefore reduce the risk of project failures. In this paper, we propose a set of ontology cohesion metrics which focuses on measuring (possibly inconsistent) ontologies in the context of dynamic and changing Web. They are: Number of Ontology Partitions (NOP), Number of Minimally Inconsistent Subsets (NMIS) and Average Value of Axiom Inconsistencies (AVAI). These ontology metrics are used to measure ontological semantics rather than ontological structure. They are theoretically validated for ensuring their theoretical soundness, and further empirically validated by a standard test set of debugging ontologies. The related algorithms to compute these ontology metrics also are discussed. These metrics proposed in this paper can be used as a very useful complementarity of existing ontology cohesion metrics.
收录类别	ei,sci
关键词	Ontology Semantic Metrics Ontology Cohesion Metrics Semantic Inconsistency
部门归属	软件工程技术研究开发中心
语种	英语
WOS记录号	WOS:000272528200015
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/2897
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,Jin Beihong,Feng Yulin. semantic oriented ontology cohesion metrics for ontology-based systems[J]. The Journal of Systems and Software,2010,83(1):143-152.
APA	Ma Yinglong,Jin Beihong,&Feng Yulin.(2010).semantic oriented ontology cohesion metrics for ontology-based systems.The Journal of Systems and Software,83(1),143-152.
MLA	Ma Yinglong,et al."semantic oriented ontology cohesion metrics for ontology-based systems".The Journal of Systems and Software 83.1(2010):143-152.

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