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Discovering Conceptual Web-Knowledge in Web Documents

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3257))

Abstract

The Web provides virtually unlimited, but poorly organized information resources which cause the problem of information overload. It usually results from a query that does not indicate the intended senses of the query-words.

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References

  1. Christopher Stokoe, M.P.O., Tait, J.: Word sense disambiguation in information retrieval revisited. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 159–166. ACM, New York (2003)

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  2. Neill, D.B.: Fully automatic word sense induction by semantic clustering. M.phil in computer speech. Cambridge University Press, Cambridge (2002)

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© 2004 Springer-Verlag Berlin Heidelberg

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Yoo, S.Y., Hoffmann, A. (2004). Discovering Conceptual Web-Knowledge in Web Documents. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_47

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  • DOI: https://doi.org/10.1007/978-3-540-30202-5_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23340-4

  • Online ISBN: 978-3-540-30202-5

  • eBook Packages: Springer Book Archive

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