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

fYear

2014

fDate

13-15 Aug. 2014

Firstpage

53

Lastpage

58

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IDAM.2014.6912670

Filename

6912670