One Simple Ontology for Linked Data Sets

نویسندگان

  • Lihua Zhao
  • Ryutaro Ichise
چکیده

The Linking Open Data (LOD) cloud includes over 26 billion RDF triples from various domains. In order to access linked data sets, Semantic Web users have to understand the ontology schema of the data sets. However, understanding all the ontologies used in the LOD cloud is not feasible and is time-consuming. A simple and easily understandable ontology that integrates ontology schema from different data sets is a solution to this problem. This paper proposes an automatic ontology learning method that integrates ontologies from different linked data sets, and presents case studies to show the advantages of our approach.

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تاریخ انتشار 2011