An Automated Template Selection Framework for Keyword Query over Linked Data

  • Md-Mizanur Rahoman
  • Ryutaro Ichise
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7774)

Abstract

Template-based information access, in which templates are constructed for keywords, is a recent development of linked data information retrieval. However, most such approaches suffer from ineffective template management. Because linked data has a structured data representation, we assume the data’s inside statistics can effectively influence template management. In this work, we use this influence for template creation, template ranking, and scaling. Our proposal can effectively be used for automatic linked data information retrieval and can be incorporated with other techniques such as ontology inclusion and sophisticated matching to further improve performance.

Keywords

linked data keyword information access data statistics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Md-Mizanur Rahoman
    • 1
  • Ryutaro Ichise
    • 1
    • 2
  1. 1.Department of InformaticsThe Graduate University for Advanced StudiesTokyoJapan
  2. 2.Principles of Informatics Research DivisionNational Institute of InformaticsTokyoJapan

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