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New Technology of Library and Information Service  2015, Vol. 31 Issue (6): 33-40    DOI: 10.11925/infotech.1003-3513.2015.06.06
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Ontology Matching for Linked Data Set
Gao Jinsong, Cheng Ya, Liang Yanqi
Information Management School, Huazhong Normal University, Wuhan 430079, China
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[Objective] The paper analyzes the characters of linked data set to improve the traditional Ontology matching method. [Methods] Combine the Ontology matching methods as matching rules from three aspects, which are method of data transformation, similarity of name and similarity of the description information, then use the genetic algorithm to extract the best matching rules, finally use Jena to test. [Results] Construct an Ontology matching framework for linked data set, and realize the interconnection between Ontologies of linked data set. [Limitations] The Ontology matching process mainly solves the problem of heterogeneous Ontologies, failed to match the Ontologies in different fields and languages. [Conclusions] The method can realize the correlation of the linked data set and improve the links of linked data set.

Key wordsLinked data      Ontology matching      Genetic algorithm     
Received: 28 November 2014      Published: 08 July 2015
:  G354  

Cite this article:

Gao Jinsong, Cheng Ya, Liang Yanqi. Ontology Matching for Linked Data Set. New Technology of Library and Information Service, 2015, 31(6): 33-40.

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