Abstract
Ontologies have proved to be very useful in sharing concepts across applications in an unambiguous way. However, since web documents are not fully structured sources of information, it is not possible to utilize the benefits of a domain ontology straight away to extract information from such a document. In this paper we have proposed an uncertainty handling mechanism based on rough-fuzzy reasoning principles which can handle query-processing from unstructured web documents in an elegant way.
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References
Zhong, N., Liu, J., Yao, Y.Y.: In search of the wisdom web. IEEE Computer 35(11), 27–31 (2002)
World wide web consortium, http://www.w3.org/
WineOntology, http://kaon.semanticweb.org/Members/rvo/WebOnt_Guide/wines.owl/view
Gal, A., Modica, G., Jamil, H.: Improving web search with automatic ontology matching, http://citeseer.nj.nec.com/558376.html
Ramsdell, J.D.: A foundation for a semantic web (2001), http://www.ccs.neu.edu/home/ramsdell/papers/swfol/swfol.pdf
Srinivasan, P., Ruiz, M.E., Kraft, D.H., Chen, J.: Vocabulary Mining for Information Retrieval: Rough Sets and Fuzzy Sets. Information Processing and Management 37, 15–38 (2001)
Ross, T.: Fuzzy Logic for Engineering Applications. McGraw-Hill Book Company, New York (1995) ISBN: 0-07-053917-0
Zheng, Z.: AnswerBus Question Answering System. In: Human Language Technology Conference (HLT 2002), San Diego, CA (2002)
Horrocks, I., Tessaris, S.: Querying the semantic web: a formal approach. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 177–191. Springer, Heidelberg (2002)
Horrocks, I., Tessaris, S.: A conjunctive query language for description logic aboxes. In: Proceedings of the 17th National Conference on Artificial Intelligence (AAAI 2000), pp. 399–404 (2000)
Hölldobler, S., Khang, T.D., Störr, H.-P.: A fuzzy description logic with hedges as concept modifiers. In: Proceedings InTech/VJFuzzy 2002. Science and Technics, pp. 25–34. Publishing House, Hanoi (2002)
Zadeh, L. A.: A fuzzy-set-theoretic interpretation of linguistic hedges. Journal of Cybernetic 2 (1972)
Li, X., Roth, D.: Learning Question Classifiers. In: Proceedings of the 19th International Conference on Computational Linguistics (2002)
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Singh, S., Dey, L., Abulaish, M. (2004). A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing. In: Favela, J., Menasalvas, E., Chávez, E. (eds) Advances in Web Intelligence. AWIC 2004. Lecture Notes in Computer Science(), vol 3034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24681-7_12
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DOI: https://doi.org/10.1007/978-3-540-24681-7_12
Publisher Name: Springer, Berlin, Heidelberg
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