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

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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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References

  1. Fensel, D., et al.: OIL: Ontology Infrastructure to Enable the Semantic Web. IEEE Intelligent Systems 16(2), 38–45 (2001)

    Article  Google Scholar 

  2. Chang-shing, L., Zhi-wei, J., Lin-kai, H.: A fuzzy ontology and its application to news summarization. IEEE Transactions on Systems, Man, and Cybernetics - part B: Cybernetics 35(5), 859 (2005)

    Article  Google Scholar 

  3. Miller, G.: Wordnet: An online lexical database. International Journal of Lexicography 3(4) (1997)

    Google Scholar 

  4. Parry, D.: A fuzzy ontology for medical document retrieval. ACSW frontiers, 121-126 (2004)

    Google Scholar 

  5. Quan, T.T., Hui, S.C., Cao, T.H.: FOGA: A Fuzzy Ontology Generation Framework for Scholarly Semantic Web. In: Proceedings of the 2004 Knowledge Discovery and Ontologies Workshop (KDO’04), Pisa, Italy (2004)

    Google Scholar 

  6. Wallace, M., Avrithis, Y.: Fuzzy Relational Knowledge Representation and Context in the Service of Semantic Information Retrieval. In: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Budapest, Hungary, IEEE, Los Alamitos (2004)

    Google Scholar 

  7. Widyantoro, D.H., Yen, J.: A Fuzzy Ontology-based Abstract Search Engine and its User Studies. In: Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, pp. 1291–1294. IEEE Computer Society Press, Los Alamitos (2001)

    Google Scholar 

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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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