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A Decentralized Resource Discovery Based on Keywords Combinations and Node Clusters in Knowledge Grid

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4681))

Abstract

The organization and discovery of grid resources are foundational and key subjects in grid research. Many research works in this field have presented the solutions to the problem, but few of them are focused on knowledge resources. This paper aims to explore how to support user’s knowledge requests submitted in form of multi-keywords. We present a decentralized resource discovery method based on keyword combinations and node clusters. In the method, hot keyword combinations are formed based on user’s knowledge requests. Then, grid nodes can be clustered according to these keyword combinations and user’s knowledge requests will be transmitted to those clusters that have high correlations with the requests.

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De-Shuang Huang Laurent Heutte Marco Loog

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© 2007 Springer Berlin Heidelberg

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Li, H., Liu, L. (2007). A Decentralized Resource Discovery Based on Keywords Combinations and Node Clusters in Knowledge Grid. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_73

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  • DOI: https://doi.org/10.1007/978-3-540-74171-8_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74170-1

  • Online ISBN: 978-3-540-74171-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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