Research Article

Autonomous semantic link networking model for the Knowledge Grid

  1. Hai Zhuge*

Article first published online: 28 SEP 2006

DOI: 10.1002/cpe.1097

Issue

Concurrency and Computation: Practice and Experience

Concurrency and Computation: Practice and Experience

Special Issue: Autonomous Grid Computing

Volume 19, Issue 7, pages 1065–1085, May 2007

Additional Information

How to Cite

Zhuge, H. (2007), Autonomous semantic link networking model for the Knowledge Grid. Concurrency Computat.: Pract. Exper., 19: 1065–1085. doi: 10.1002/cpe.1097

Author Information

  1. China Knowledge Grid Research Group, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100080 Beijing, People's Republic of China

*China Knowledge Grid Research Group, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100080 Beijing, People's Republic of China

Publication History

  1. Issue published online: 26 MAR 2007
  2. Article first published online: 28 SEP 2006
  3. Manuscript Accepted: 4 MAY 2006
  4. Manuscript Revised: 28 APR 2006
  5. Manuscript Received: 21 MAR 2006

Funded by

  • National Basic Research Program of China (973 Project). Grant Number: 2003CB317001
  • National Science Foundation of China

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Keywords:

  • analogy;
  • Knowledge Grid;
  • reasoning;
  • semantic link network;
  • Semantic Grid

Abstract

A semantic link network (SLN) consists of nodes (entities, features, concepts, schemas or communities) and semantic links between nodes. This paper proposes an autonomous SLN formalism to support intelligent applications on large-scale networks. The formalism integrates the SLN logical reasoning with the SLN analogical reasoning and the SLN inductive reasoning, as well as existing techniques to form an autonomous semantic overly. The SLN logical reasoning mechanism derives implicit semantic relations by a semantic matrix and relevant addition and multiplication operations based on semantic link rules. The SLN analogical reasoning mechanism proposes conjectures on semantic relations based on structural mapping between nodes. The SLN inductive reasoning mechanism derives general semantics from special semantics. The cooperation of diverse reasoning mechanisms enhances the reasoning ability of each, therefore providing a powerful semantic ability for the semantic overlay. The self-organizing diverse scales of the SLN support the intelligent applications of the Knowledge Grid. Copyright © 2006 John Wiley & Sons, Ltd.

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