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
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;
Conference_Titel :
Industrial Electronics (ISIE), 2010 IEEE International Symposium on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-6390-9
DOI :
10.1109/ISIE.2010.5637530
