Autre titre | Ontology fusion in HLA-based collaborative engineering environments |
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Téléchargement | - Voir le manuscrit accepté : Ontology fusion in high-level-architecture-based collaborative engineering environments (PDF, 1.1 Mio)
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DOI | Trouver le DOI : https://doi.org/10.1109/TSMCA.2012.2190138 |
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Auteur | Rechercher : Sun, Hongbo1; Rechercher : Fan, Wenhui; Rechercher : Shen, Weiming1; Rechercher : Xiao, Tianyuan |
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Affiliation | - Conseil national de recherches du Canada. Institut de recherche en construction du CNRC
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Format | Texte, Article |
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Sujet | collaborative engineering environments (CEEs), high-level architecture (HLA), ontology, product development |
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Résumé | 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. |
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Date de publication | 2012-05-01 |
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Dans | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Numéro du CNRC | NRCC 53601 |
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Numéro NPARC | 20870264 |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | 17ce76dc-5f37-49c4-8418-64eff96f74da |
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Enregistrement créé | 2012-10-30 |
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Enregistrement modifié | 2020-04-21 |
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