Mining fuzzy ontology for a web-based granular information retrieval system

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

7 Scopus Citations
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Author(s)

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Detail(s)

Original languageEnglish
Title of host publicationRough Sets and Knowledge Technology
Subtitle of host publication4th International Conference, RSKT 2009, Proceedings
PublisherSpringer Verlag
Pages239-246
Volume5589 LNAI
ISBN (Print)3642029612, 9783642029615
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5589 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009
PlaceAustralia
CityGold Coast, QLD
Period14 - 16 July 2009

Abstract

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. © 2009 Springer Berlin Heidelberg.

Research Area(s)

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

Citation Format(s)

Mining fuzzy ontology for a web-based granular information retrieval system. / Lau, Raymond Y. K.; Lai, Chapmann C. L.; Li, Yuefeng.
Rough Sets and Knowledge Technology: 4th International Conference, RSKT 2009, Proceedings. Vol. 5589 LNAI Springer Verlag, 2009. p. 239-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5589 LNAI).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review