The NRC Publications Archive is now operational; however, not all the features of the site are available at this time.
The following features remain unavailable:
- Viewing/Downloading of full text publications
- Author browse feature
- Affiliation/institute/portfolio search
- NRC Publication Archive statistics
NRC is currently working to restore these features and we will update this notice as these features become available. Thank you for your patience.
Ontology fusion in high-level-architecture-based collaborative engineering environments
Ontology fusion in HLA-based collaborative engineering environments
; Sun, Hongbo
; Fan, Wenhui
; Shen, Weiming
NRC Institute for Research in Construction; National Research Council Canada
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems And Humans
collaborative engineering environments (CEEs), high-level architecture (HLA), ontology, product development
In high-level-architecture (HLA)-based distributed heterogeneous collaborative engineering environments (CEEs), the construction of federation object model files is time consuming. This paper presents an ontology fusion approach aiming at establishing a common understanding in such collaborative environments. The proposed approach has three steps: ontology mapping, ontology alignment, and ontology merging. Ontology mapping employs a top-down approach to explore all bridge relations between two terms from different ontologies based on bridge axioms and deduction rules. Ontology alignment adopts a bottom-up approach to discover implicit bridge relations between two terms from different domain ontologies based on equivalent inference. Ontology merging generates a new collaboration ontology from discovered equivalent bridge relations. It adopts an axiom-based ontology fusion strategy and takes heavy-weighted ontologies into consideration. It can find all the explicit and derived interontology relations. In a typical CEE, the proposed approach has a great potential to improve the efficiency of preparation for HLA-based collaborative engineering processes, reduce the work load for adaptive adjustment of existing platforms, and enhance the reusability and flexibility of CEEs. A case study has been conducted to validate the feasibility of the proposed approach.