Journal of Jilin University (Information Science Edition) ›› 2023, Vol. 41 ›› Issue (1): 67-75.

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Research on Knowledge Integration Model Based on Ontology and Linked Data

YUAN Man 1 , LI Mingxuan 1 , ZHANG Weigang 1 , YUAN Jingshu 2   

  1. (1. School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China; 2. School of Information Science and Engineering, China University of Petroleum (Beijing), Beijing 102249, China)
  • Received:2022-02-26 Online:2023-02-08 Published:2023-02-09

Abstract: At present, the integration models in various fields mainly focus on data integration and information integration, but these integration models lack the integration of standards. Ontology and linked data technology can fundamentally solve the “knowledge island冶 phenomenon, and link semantics at the pattern level, reducing data redundancy, and providing an integrated knowledge model for knowledge elements. Firstly, the traditional knowledge organization methods are compared and analyzed, and then a standard driven knowledge integration model is proposed and constructed according to the knowledge organization methods of ontology and linked data. The model realizes the representation of domain knowledge ontology by re-using the domain thesaurus and the vocabularies in the relevant international fact standard ontology. Finally, the RDF ( Resource Description Framework) is serialized through the linked data technology, and linked with entities in the external knowledge base to publish unified and integrated linked data to provide knowledge services for the field. In order to verify the feasibility of the proposed model, taking the petroleum field as the background, the standard vocabularies such as
petroleum subject words is re-used, and the standardized petroleum field ontology is constructed, which integrates the petroleum knowledge in the petroleum field with the knowledge of GeoNames and DBpedia encyclopedia. The rationality and availability of the proposed model are verified. The proposed standardized integration model is also suitable for the integration of knowledge in other fields.

Key words: knowledge integration, standardization, ontology, linked data

CLC Number: 

  • TP301