Mining Fuzzy Ontology for a Web-Based Granular Information Retrieval System

  • Raymond Y. K. Lau
  • Chapmann C. L. Lai
  • Yuefeng Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5589)


This paper illustrates the design and development of a fuzzy-ontology based granular IR system to facilitate domain specific search. Based on the notion of information granulation, a novel computational model is developed to estimate the granularity of documents and rank these documents according to the information seekers’ specific granularity requirements. The initial experiments confirm that our granular IR system outperforms a vector space based IR system for domain specific search. Our research work opens the door to the application of granular computing methodology to enhance domain specific search on the Internet.


Fuzzy Domain Ontology Fuzzy Subsumption Granular Computing Granular IR Systems Information Retrieval 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Raymond Y. K. Lau
    • 1
  • Chapmann C. L. Lai
    • 1
  • Yuefeng Li
    • 2
  1. 1.Department of Information SystemsCity University of Hong KongKowloonHong Kong
  2. 2.School of Information TechnologyQueensland University of TechnologyBrisbaneAustralia

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