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| a proposal for stable semantic metrics based on evolving ontologies | |
| Ma Yinglong; Ma Xinyv; Liu Shaohua; Jin Beihong | |
| 2009 | |
| Conference Name | 1st IITA International Joint Conference on Artificial Intelligence, JCAI 2009 |
| Source | IJCAI International Joint Conference on Artificial Intelligence |
| Conference Date | April 25, |
| Conference Place | Hainan Island, China |
| Indexed Type | EI |
| Publish Place | United States |
| ISSN | 10450823 |
| ISBN | 9780769536156 |
| Department | (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 |
| English Abstract | 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. |
| Keyword | Adhesion Artificial Intelligence Metric System Semantics |
| Sponsorship | Engineering Technology Press; IEEE SMC TC on Education Technology and Training; Intell. Inf. Technol. Appl. Res. Assoc. |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8524 |
| Collection | 软件工程技术研究开发中心 |
| Recommended Citation 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. |
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