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Semantic Optimization of Query Transformation in Semantic Peer-to-Peer Networks

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6423))

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Abstract

Ontologies have been an important role of supporting efficient interoperability among information systems in distributed environment. In this paper, we propose a query transformation method to efficiently collect as many relevant resources from the distributed information systems as possible. More importantly, the query from the source peer can be decomposed and propagated as maintaining the original contexts. Through the experiments, we have shown that query-activated concept (QAC)-based schemes have fulfilled an efficient query decomposition process.

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Author information

Authors and Affiliations

  1. Knowledge Engineering Laboratory, Department of Computer Engineering, Yeungnam University, Gyeongsan, Korea, 712-749

    Jason J. Jung

Authors
  1. Jason J. Jung
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., 106, Taipei, Taiwan

    Shyi-Ming Chen

  3. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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© 2010 Springer-Verlag Berlin Heidelberg

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Jung, J.J. (2010). Semantic Optimization of Query Transformation in Semantic Peer-to-Peer Networks. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16696-9_17

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  • DOI: https://doi.org/10.1007/978-3-642-16696-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16695-2

  • Online ISBN: 978-3-642-16696-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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