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semantic oriented ontology cohesion metrics for ontology-based systems
Ma Yinglong; Jin Beihong; Feng Yulin
2010
SourceThe Journal of Systems and Software
Volume83Issue:1Pages:143-152
English AbstractOntologies 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.
Indexed Typeei,sci
KeywordOntology Semantic Metrics Ontology Cohesion Metrics Semantic Inconsistency
Department软件工程技术研究开发中心
Language英语
WOS IDWOS:000272528200015
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/2897
Collection软件工程技术研究开发中心
Recommended Citation
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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