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RDF Link Generation by Exploring Related Links on the Web of Data

K. Sharma,U. Marjit,U. Biswas

Published 2018 in International Journal of Information Technology and Computer Science

ABSTRACT

Interlinking RDF resources is a vital aspect of the Semantic Web technology. It is the basis of Linked Data that provides interlinked datasets on the web. One of the principles of Linked Data is interlinking resources from different data sources on the web. Data interlinking is a critical and challenging problem that every Linked Data generation applications face. Various approaches have been evolved for resolving this problem, but, for more massive datasets, it becomes almost indefinite time while linking similar or related resources. Linking RDF resources is like the problem of entity matching, record matching or duplicate resource detection. More or less they attempt to point to the same problem, but the RDF link generation is the task of finding related resources on the web. In this article, we present an approach for generating RDF links using the similarity measure between two RDF resources and by exploring associated relationships of the matched resources. The idea is to find related resources and link them with an RDF resource that is being generated.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    International Journal of Information Technology and Computer Science

  • Publication date

    2018-10-08

  • Fields of study

    Computer Science

  • Identifiers
    DOI 10.5815/ijitcs.2018.10.08
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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