DocumentCode :
556411
Title :
Extracting module from OWL-DL ontology
Author :
Liang Zhang ; Kun Liu ; Xue Qin ; Shengqun Tang
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
Volume :
1
fYear :
2011
fDate :
22-23 Oct. 2011
Firstpage :
176
Lastpage :
179
Abstract :
The use of ontologies lies at the very heart of the newly emerging era of semantic web. As information on the web increases significantly in size, web ontologies also tend to grow bigger, to such an extent that they become too large to be used in their entirety by any single application. Moreover, because of the size of the original ontology, the process of maintenance, reuse, reasoning and integration becomes very computationally extensive. Accordingly, the research community is increasing its effort towards the specification of frameworks and techniques that may help in downsizing ontology. Modularization is one of the approaches to achieve such a result. In this paper, we propose an algorithm of module extraction based on user´s semantic query and realize it to a component of the framework for knowledge management system. Experiment shows that this approach is very useful in practice.
Keywords :
formal specification; knowledge management; knowledge representation languages; ontologies (artificial intelligence); query processing; semantic Web; OWL-DL ontology; Web ontology; framework specification; knowledge management system; modularization; module extraction; semantic Web; user semantic query; Databases; Electronic government; Navigation; Ontologies; Semantics; OWL-DL; module extraction; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-4577-0247-1
Type :
conf
DOI :
10.1109/ICSSEM.2011.6081176
Filename :
6081176
Link To Document :
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