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inteSearch: An Intelligent Linked Data Information Access Framework

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Semantic Technology (JIST 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8943))

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Abstract

Information access over linked data requires to determine subgraph(s), in linked data’s underlying graph, that correspond to the required information need. Usually, an information access framework is able to retrieve richer information by checking of a large number of possible subgraphs. However, on the fly checking of a large number of possible subgraphs increases information access complexity. This makes an information access frameworks less effective. A large number of contemporary linked data information access frameworks reduce the complexity by introducing different heuristics but they suffer on retrieving richer information. Or, some frameworks do not care about the complexity. However, a practically usable framework should retrieve richer information with lower complexity. In linked data information access, we hypothesize that pre-processed data statistics of linked data can be used to efficiently check a large number of possible subgraphs. This will help to retrieve comparatively richer information with lower data access complexity. Preliminary evaluation of our proposed hypothesis shows promising 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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Corresponding author

Correspondence to Md-Mizanur Rahoman .

Editor information

Editors and Affiliations

  1. National Electronics and Computer Technology Center, Pathum Thani, Thailand

    Thepchai Supnithi

  2. Keio University Fac. of Science & Technology, Yokohama, Japan

    Takahira Yamaguchi

  3. Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom

    Jeff Z. Pan

  4. Asian University, Chonburi, Thailand

    Vilas Wuwongse

  5. National Electronics Computer Tech Ctr, Sci Park, Pathumthani, Thailand

    Marut Buranarach

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© 2015 Springer International Publishing Switzerland

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Rahoman, MM., Ichise, R. (2015). inteSearch: An Intelligent Linked Data Information Access Framework. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds) Semantic Technology. JIST 2014. Lecture Notes in Computer Science(), vol 8943. Springer, Cham. https://doi.org/10.1007/978-3-319-15615-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-15615-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15614-9

  • Online ISBN: 978-3-319-15615-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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