Journal of Jilin University (Information Science Edition) ›› 2021, Vol. 39 ›› Issue (5): 491-497.

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Research on Ontology Fusion Model Based on MFI4OR Standard

YUAN Man a , YANG Jing a , CHEN Ping b   

  1. a. School of Computer and Information Technology; b. School of Economics and Management, Northeast Petroleum University, Daqing 163318, China
  • Received:2021-01-28 Online:2021-10-01 Published:2021-10-01

Abstract: Ontology fusion has become an important way to reconstruct knowledge map and share knowledge in the subject field. In order to solve the problem of lack of standard fusion framework in ontology fusion field, we propose an ontology fusion model based on international standard MFI4OR. This model provides a standard ontology information partition standard, namely ontology-ontology component-ontology atomic component, and realizes the management and mapping of ontology information. In the process of fusion calculation, we choose editing distance algorithm and introduces external resources WordNet dictionary to calculate similarity. Finally, based on the application background of learner model construction requirements in provincial fund projects, the FOAF (Friend-Of-A-Friend)and RELATIONSHIP ontologies are fused. The results show that the standardized fusion model can achieve fusion and has good recall rate and accuracy.

Key words: ontology fusion, MFI4OR standard, editing distance, WordNet dictionary

CLC Number: 

  • TP311