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