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An Automated Template Selection Framework for Keyword Query over Linked Data

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Semantic Technology (JIST 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7774))

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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.

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Author information

Authors and Affiliations

  1. Department of Informatics, The Graduate University for Advanced Studies, Tokyo, Japan

    Md-Mizanur Rahoman & Ryutaro Ichise

  2. Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan

    Ryutaro Ichise

Authors
  1. Md-Mizanur Rahoman
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  2. Ryutaro Ichise
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Editor information

Editors and Affiliations

  1. National Institute of Informatics, Tokyo, Japan

    Hideaki Takeda

  2. Nanjing University, China

    Yuzhong Qu

  3. Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Riichiro Mizoguchi

  4. Osaka University, Japan

    Yoshinobu Kitamura

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Rahoman, MM., Ichise, R. (2013). An Automated Template Selection Framework for Keyword Query over Linked Data. In: Takeda, H., Qu, Y., Mizoguchi, R., Kitamura, Y. (eds) Semantic Technology. JIST 2012. Lecture Notes in Computer Science, vol 7774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37996-3_12

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  • DOI: https://doi.org/10.1007/978-3-642-37996-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37995-6

  • Online ISBN: 978-3-642-37996-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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