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Granulation Based Approximate Ontologies Capture

  • Taorong Qiu
  • Xiaoqing Chen
  • Qing Liu
  • Houkuan Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4481)

Abstract

Ontologies are of vital importance to the successful realization of semantic Web. Currently, the existing concepts in ontologies are not approximate but clear. However, in real application domains many concepts are difficult to define explicitly. In order to fulfill semantic Web, it’s not only necessary but also important to study approximate concepts and approximate ontologies generated from the approximate concepts. In this paper, based on the principle of granular computing, a granulation model for representing approximate ontologies was constructed. Then algorithms for capturing approximate concepts and generating approximate ontologies were proposed and illustrated with a real example.

Keywords

Concept approximation granular computing ontologies 

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Taorong Qiu
    • 1
    • 2
  • Xiaoqing Chen
    • 1
    • 2
  • Qing Liu
    • 2
  • Houkuan Huang
    • 1
  1. 1.School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044China
  2. 2.Department of Computer, Nanchang University, Nanchang, Jiangxi 330031China

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