DocumentCode :
503953
Title :
A Self-Feedback Methodology of Domain Ontology Modeling
Author :
Li, Ming ; Zang, Fengkui
Author_Institution :
Sch. of Comput. & Commun., LanZhou Univ. of Technol., Lanzhou, China
Volume :
2
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
218
Lastpage :
223
Abstract :
Ontology has played more and more important roles in the computer science fields. However, there is no unified and effective method for ontology modeling until now. This paper presents a novel method for domain ontology modeling. Firstly, all kinds of ontology models are translated into ontology model described in description logics (DLs). Subsequently, erroneous information is fed back through reasoning on ontology in DLs. Finally, developers can amend ontology according to the feedback information. This process is repeated until the inconsistency of ontology is eliminated. Consequently, the above-mentioned methodology improves the accuracy and efficiency of domain ontology modeling. A concrete instance evidently demonstrates the effectiveness of research.
Keywords :
ontologies (artificial intelligence); computer science fields; description logics; domain ontology modeling; self-feedback methodology; Computer science; Concrete; Formal languages; Graphics; Learning systems; Logic; Object oriented modeling; Ontologies; Software engineering; Unified modeling language; Description logics (DLs); Domain ontology modeling; Reasoning; UML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
Type :
conf
DOI :
10.1109/WCSE.2009.178
Filename :
5319678
Link To Document :
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