ISCAS OpenIR
ontom: a tool for semantic measurement for ontology-based systems
Ma Yinglong; Chen Yuxing; Lin Baowang; Wu Haijiang
2012
发表期刊International Journal of Digital Content Technology and its Applications
ISSN19759339
卷号6期号:13页码:158-166
摘要Ontology selection is an important challenge of ontology reuse. How we ensure that the ontologies we selected have good quality for knowledge sharing is a key problem. A possible means of tackling the problem is to measure and evaluate the candidate ontologies. Then according to the evaluation results to these ontologies, we can select the high-quality ontologies from the candidate ontologies. In this paper, we implemented a system called ONTOM for measuring ontologies. Based on the proposed criteria of ontology measurement, we can measure the quality of candidate ontologies by integrating some ontology metrics into our systems. Then, different measurement results for candidate ontologies can be compared. We introduce the system architecture and the implementation of the specific ontology metrics. At last, some experiments were made which shows that this system can enable stable semantic measurement for ontologies.
收录类别ei
部门归属(1) School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; (2) State Key Laboratory of Computer, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (3) Information Center, The 306th Hospital of PLA, Beijing 100101, China
语种英语
内容类型期刊论文
URI标识http://ir.iscas.ac.cn/handle/311060/14703
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Ma Yinglong,Chen Yuxing,Lin Baowang,et al. ontom: a tool for semantic measurement for ontology-based systems[J]. International Journal of Digital Content Technology and its Applications,2012,6(13):158-166.
APA Ma Yinglong,Chen Yuxing,Lin Baowang,&Wu Haijiang.(2012).ontom: a tool for semantic measurement for ontology-based systems.International Journal of Digital Content Technology and its Applications,6(13),158-166.
MLA Ma Yinglong,et al."ontom: a tool for semantic measurement for ontology-based systems".International Journal of Digital Content Technology and its Applications 6.13(2012):158-166.
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