Content-Oriented knowledge modeling for automated parts library ontology merging

Authors:
Joonmyun Cho;Hyun Kim;Soonhung Han
Affiliations:
Software Robot Research Team, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea;Software Robot Research Team, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea;Department of Mechanical Engineering, Korea Advanced Institute of Science, and Technology (KAIST), Daejeon, South Korea
Venue:
CSCWD'05 Proceedings of the 9th international conference on Computer Supported Cooperative Work in Design II
Year:
2005

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Abstract

The digital parts libraries or electronic parts catalogs have opened up a vast potential for new electronic forms of product components procurement. However, their seamless integration is impeded by the mismatches of their ontologies. The origin of the ontology mismatches is the differences in the way the given domain is interpreted (conceptualized). In this paper, we discuss content-oriented knowledge modeling of parts libraries. We propose a system of meta-concepts which have explicit ontological semantics. The explicit ontological semantics helps ontology developers to consistently and systematically interpret the parts library knowledge. We also discuss an experimental application of our proposal to a real case of mold and die parts libraries.