(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
English Abstract:
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.
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,2012-01-01,6(13):158-166.
