A fuzzy collaborative assessment approach for knowledge grid

  • Authors:
  • Hai Zhuge;Jie Liu

  • Affiliations:
  • Knowledge Grid Research Group, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, PO. Box 2704-28, 100080 Beijing, China;Knowledge Grid Research Group, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, PO. Box 2704-28, 100080 Beijing, China

  • Venue:
  • Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
  • Year:
  • 2004

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Abstract

The assessment of Knowledge Grid is important to its design, development and maintenance. The difference between Knowledge Grid and website in structure and content determines that the current website assessment approaches are not suitable for assessing the Knowledge Grid. This paper proposes a fuzzy collaborative assessment approach combining the objective and subjective assessment strategies. The objective assessment strategy integrates the criteria used in website assessment and those related to knowledge organization and management. The subjective assessment strategy assesses the quality of knowledge service through the cooperation between experts and agents. The proposed approach also provides the optimum solution for improving the performance of the Knowledge Grid based on the assessment result and constraints. We demonstrate the proposed approach through a real application.