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