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.
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Lau, R.Y.K., Lai, C.C.L., Li, Y. (2009). Mining Fuzzy Ontology for a Web-Based Granular Information Retrieval System. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds) Rough Sets and Knowledge Technology. RSKT 2009. Lecture Notes in Computer Science(), vol 5589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02962-2_30
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DOI: https://doi.org/10.1007/978-3-642-02962-2_30
Publisher Name: Springer, Berlin, Heidelberg
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