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A Proposal for a Web Information Extraction and Question-Answer System

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Advances in Intelligent Web Mastering

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

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Abstract

The Web is part of today’s life and offers all kind of content. We present a system that can help the user to extract information from web documents and to find the answer for simple questions in natural language. This work is focused on newspaper articles and it is based on an ontology knowledge representation, natural language processment and a logic-programming framework.

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References

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Authors and Affiliations

  1. Departamento de Informática, Universidade de Évora, Portugal

    José Saias & Paulo Quaresma

Authors
  1. José Saias
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  2. Paulo Quaresma
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Editor information

Katarzyna M. Wegrzyn-Wolska Piotr S. Szczepaniak

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© 2007 Springer-Verlag Berlin Heidelberg

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Saias, J., Quaresma, P. (2007). A Proposal for a Web Information Extraction and Question-Answer System. 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_51

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  • DOI: https://doi.org/10.1007/978-3-540-72575-6_51

  • 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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