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Title:
A Generic Implementation Framework for Measuring Ontology-Based Information
Author: Ma, Yinglong (1) ; Zhang, Xiaolan (1) ; Jin, Beihong (2) ; Lu, Ke (3)
Corresponding Author: Ma, Y.(yinglongma@gmail.com)
Keyword: Ontology ; ontology engineering ; Ontology semantics ; Ontology measurement
Source: International Journal of Computational Intelligence Systems
Issued Date: 2014
Volume: 7, Issue:1, Pages:136-146
Indexed Type: SCI ; EI
Department: (1) School of Control and Computer Engineering, North China Electric Power University, #2 Beinong Road, Beijing 102206, China; (2) State key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, #4 Nansi Street, Beijing 100190, China; (3) University of Chinese Academy of Sciences, Beijing 100049, China
Abstract: As a knowledge representation tool, ontologies have been widely applied in many fields such as knowledge management and information integration, etc. Ontology measurement is an important challenge in the field of knowledge management in order to manage the development of ontology based systems and reduce the risk of project failure. This paper proposes a generic implementation framework for stable semantic ontology measurement. Through this framework, an ontology will be measured according to its semantic enriched representation model (SERM). The SERM model of an ontology can be used for stably measuring the semantics of the ontology. Then ontology metrics are integrated into the framework to measure candidate ontologies according to its SERM model. The related experiments are made to show that the framework can effectively measure the semantics of ontologies. © 2014 Copyright: the authors.
English Abstract: As a knowledge representation tool, ontologies have been widely applied in many fields such as knowledge management and information integration, etc. Ontology measurement is an important challenge in the field of knowledge management in order to manage the development of ontology based systems and reduce the risk of project failure. This paper proposes a generic implementation framework for stable semantic ontology measurement. Through this framework, an ontology will be measured according to its semantic enriched representation model (SERM). The SERM model of an ontology can be used for stably measuring the semantics of the ontology. Then ontology metrics are integrated into the framework to measure candidate ontologies according to its SERM model. The related experiments are made to show that the framework can effectively measure the semantics of ontologies. © 2014 Copyright: the authors.
Language: 英语
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16875
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Ma, Yinglong ,Zhang, Xiaolan ,Jin, Beihong ,et al. A Generic Implementation Framework for Measuring Ontology-Based Information[J]. International Journal of Computational Intelligence Systems,2014-01-01,7(1):136-146.
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