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Information Retrieval in Digital Theses Based on Natural Language Processing Tools

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Advances in Natural Language Processing (EsTAL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3230))

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Abstract

Search performance can be greatly improved by describing data using Natural Language Processing (NLP) tools to create new metadata and domain ontologies. A methodology is presented to use domain specific knowledge to improve user request. This knowledge is based on concepts, extracted from the document itself, used as “semantic metadata tags” in order to annotate XML documents. We present the process followed to define and to add new XML semantic metadata into the digital library of scientific theses. Using these new metadata, an ontology is also constructed by following a methodology. Effective retrieval information is obtained by using an intelligent system based on XML semantic metadata and domain ontology.

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Author information

Authors and Affiliations

  1. INSA of Lyon – LIRIS, 7 Avenue J. Capelle Bât 502 – Blaise Pascal, F69621 cedex, Villeurbanne, France

    Rocío Abascal, Béatrice Rumpler & Jean-Marie Pinon

Authors
  1. Rocío Abascal
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  2. Béatrice Rumpler
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  3. Jean-Marie Pinon
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Editor information

Editors and Affiliations

  1. Department of Software and Computing Systems, University of Alicante, Spain

    José Luis Vicedo

  2. Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain

    Patricio Martínez-Barco

  3. Grupo de investigación del Procesamiento del Lenguaje y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain

    Rafael Muńoz

  4. Departamento de Lenguajes y Sistemas Informáticos, Carretera de San Vicente del Raspeig, Universidad de Alicante, 03690 San Vicente del Raspeig, Alicante, Spain

    Maximiliano Saiz Noeda

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© 2004 Springer-Verlag Berlin Heidelberg

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Abascal, R., Rumpler, B., Pinon, JM. (2004). Information Retrieval in Digital Theses Based on Natural Language Processing Tools. In: Vicedo, J.L., Martínez-Barco, P., Muńoz, R., Saiz Noeda, M. (eds) Advances in Natural Language Processing. EsTAL 2004. Lecture Notes in Computer Science(), vol 3230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30228-5_16

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  • DOI: https://doi.org/10.1007/978-3-540-30228-5_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23498-2

  • Online ISBN: 978-3-540-30228-5

  • eBook Packages: Springer Book Archive

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