DocumentCode :
2879064
Title :
Improving reasoning capability for ontology-based geometric product model
Author :
Wang, Qingmai ; Yu, Xinghuo
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
3048
Lastpage :
3053
Abstract :
Ontology-based approaches have been widely introduced to enable semantic interoperability and reasoning over product information models. Most of the existing systems focus on how to build an ontology and how to map product information to the ontology. The reasoning issues are rarely discussed. General ontology reasoners are directly used without any comparison or evaluation. In fact, most of the existing ontology reasoners are developed for general purposes in the Semantic Web (SW). They have limitations when they are applied to Product Design and Manufacturing (PDM). This paper discusses key issues of reasoning over ontology based product information model and proposes an efficient Geometric Ontology Query Reasoner (GOQR) which provides satisfactory ABox query reasoning for geometric product model.
Keywords :
ontologies (artificial intelligence); open systems; product design; production engineering computing; semantic Web; ABox query reasoning; GOQR; PDM; SW; Semantic Web; geometric ontology query reasoner; ontology based geometric product model; product design and manufacturing; product information; product information models; reasoning capability improvement; semantic interoperability; semantic reasoning; Cognition; Educational institutions; Engines; Face; Geometry; OWL; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6119796
Filename :
6119796
Link To Document :
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