Title :
An ontology-based knowledge model for engineering material selections
Author :
Yingzhong Zhang ; Xiaofang Luo
Author_Institution :
Sch. of Mech. Eng., Dalian Univ. of Technol., Dalian, China
Abstract :
The selection of engineering materials involves a lot of knowledge. In this paper, the basic engineering material concepts and the relationships among concepts are analyzed in detail. A new ontology-based knowledge model for engineering materials is presented, which includes the engineering material ontologies, a set of tagged material instances and a rule base coded by using Semantic Web Rule Language (SWRL). A material selection approach using the ontology-based knowledge model is proposed. This research is a new attempt to construct an open and shared knowledge system for engineering materials.
Keywords :
materials science computing; ontologies (artificial intelligence); semantic Web; SWRL; engineering material concepts; engineering material ontologies; engineering material selection; ontology-based knowledge model; open knowledge system; rule base; semantic Web rule language; shared knowledge system; tagged material instances; Cognition; Knowledge based systems; Materials; Metals; Ontologies; Engineering Material; Knowledge Representation; Material Selection; Ontology;
Conference_Titel :
Innovative Design and Manufacturing (ICIDM), Proceedings of the 2014 International Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4799-6269-3
DOI :
10.1109/IDAM.2014.6912670
