Algebra model and experiment for semantic link network

  • Authors:
  • Hai Zhuge;Yunchuan Sun;Ruixiang Jia;Jie Liu

  • Affiliations:
  • Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, P.O. Box 2704, Beijing, China.;Institute of Computing Technology, Graduate School of the Chinese Academy of Sciences, P.O. Box 2704, Beijing, China, and School of Economic and Business Administration, Beijing Normal University, ...;Institute of Computing Technology, Graduate School of the Chinese Academy of Sciences, P.O. Box 2704, Beijing, China.;Institute of Computing Technology, Graduate School of the Chinese Academy of Sciences, P.O. Box 2704, Beijing, China

  • Venue:
  • International Journal of High Performance Computing and Networking
  • Year:
  • 2005

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Abstract

Semantic Link Network, SLN, is a semantic extension of hyperlink network. Based on the previous SLN model, this paper enriches the semantic links and reasoning rules, proposes an algebra model that supports semantic reasoning and the management of SLN by using a semantic matrix and presents the experiment for putting an SLN into practice. A solution to efficiently manage a huge SLN by dividing the whole SLN into partitioned semantic matrices is also put forth. The consistency issue about SLN is discussed, based on the matrix representation. Experiment of establishing and using the SLN shows the feasibility of the proposed model.