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A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing

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Advances in Intelligent Web Mastering

Part of the book series: Advances in Soft Computing ((AINSC,volume 43))

Abstract

In this paper, we present a rough-fuzzy ontology generation framework which supports rough concept descriptions at multiple levels of granularity, using fuzzy property descriptors. The rough approximations for concept descriptions and valid fuzzy property descriptors can be obtained through text-mining.

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Katarzyna M. Wegrzyn-Wolska Piotr S. Szczepaniak

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© 2007 Springer-Verlag Berlin Heidelberg

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Dey, L., Abulaish, M., Goyal, R., Shubham, K. (2007). A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing. In: Wegrzyn-Wolska, K.M., Szczepaniak, P.S. (eds) Advances in Intelligent Web Mastering. Advances in Soft Computing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72575-6_12

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  • DOI: https://doi.org/10.1007/978-3-540-72575-6_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72574-9

  • Online ISBN: 978-3-540-72575-6

  • eBook Packages: EngineeringEngineering (R0)

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