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
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