DocumentCode
3120038
Title
Ontology based geometry recognition for STEP
Author
Wang, Qingmai ; Peng, Wei ; Yu, Xinghuo
Author_Institution
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
fYear
2010
fDate
4-7 July 2010
Firstpage
1686
Lastpage
1691
Abstract
This paper proposes an Ontology Based Geometric Recognition System (OBGRS) which can provide Automatic Feature Recognition (AFR) for STEP based geometric model. The system represents the geometric domain knowledge and STEP data in ontology as classes, properties, and semantic rules, which improves the explainability of the system. Meanwhile, ontology-based separating of general domain knowledge and task related concepts makes system more flexible.
Keywords
computational geometry; electronic data interchange; feature extraction; ontologies (artificial intelligence); STEP; automatic feature recognition; geometric domain knowledge; ontology based geometry recognition; semantic rule; standard for the exchange of product model data; Cognition; Data models; Face; Feature extraction; OWL; Ontologies; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics (ISIE), 2010 IEEE International Symposium on
Conference_Location
Bari
Print_ISBN
978-1-4244-6390-9
Type
conf
DOI
10.1109/ISIE.2010.5637530
Filename
5637530
Link To Document