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Research on integration of ontology-based product knowledge: Framework, schema and algorithm

  • Wenjian Liu*
  • , Yang Jiang
  • , Tianguo Jin
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To deal with the problem that consistency in semantic representation of exchanged product knowledge in collaborative manufacturing, an ontology-based framework of knowledge integration and sharing was presented, and in the meantime an integration algorithm based on ontology mapping and merging was designed under this framework. First of all, a collaborative operation model for enterprise collaboration was discussed, and then an ontology-based framework of knowledge integration and sharing was established. Under the condition of analyzing the structure of product knowledge ontology, an ontology logic schema of knowledge concept was designed. Aiming at the ontology logic schema, an ontology integration algorithm of product knowledge was also improved. The algorithm is composed of ontology mapping and merging. Finally, the proposed ontology integration algorithm has been verified to be effective through the comparing experiment.

Original languageEnglish
Title of host publicationProceedings of the 5th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems
Subtitle of host publicationTechnology and Applications, IDAACS'2009
Pages565-569
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event5th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2009 - Rende, Italy
Duration: 21 Sep 200923 Sep 2009

Publication series

NameProceedings of the 5th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2009

Conference

Conference5th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2009
Country/TerritoryItaly
CityRende
Period21/09/0923/09/09

Keywords

  • Collaborative manufacturing
  • Knowledge integration
  • Ontology
  • Product knowledge
  • Similarity matching

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