A decentralized resource discovery based on keywords combinations and node clusters in knowledge grid

  • Authors:
  • Hong Li;Lu Liu

  • Affiliations:
  • School of Economics & Management, Beihang University, Beijing, China;School of Economics & Management, Beihang University, Beijing, China

  • Venue:
  • ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
  • Year:
  • 2007

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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.