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Choosing Related Concepts for Intelligent Exploration

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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

How to explore semantic data such as linked data, knowledge graph, ontologies etc. and get appropriate information from them are very important techniques for intelligent application systems based on them. In this article, we focus on intelligent exploration of ontologies since ontologies provide systematized knowledge to understand target domain and contribute to deep understanding of semantic data. The authors propose a novel conceptual search method called “Multistep Expansion based Concept Search” to get appropriate concepts from ontologies according to the user’s intentions and purpose.

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References

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Author information

Authors and Affiliations

  1. The Institute of Scientific and Industrial Research (ISIR), Osaka University, 8-1 Mihogaoka, Osaka, Ibaraki, Japan

    Kouji Kozaki

Authors
  1. Kouji Kozaki
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Corresponding author

Correspondence to Kouji Kozaki .

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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Kozaki, K. (2015). Choosing Related Concepts for Intelligent Exploration. 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_28

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  • DOI: https://doi.org/10.1007/978-3-319-15615-6_28

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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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