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A Hybrid Approach for Relation Extraction Aimed at the Semantic Web

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Flexible Query Answering Systems (FQAS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4027))

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Abstract

We present an approach for relation extraction from texts aimed to enrich the semantic annotations produced by a semantic web portal. The approach exploits linguistic and empirical strategies, by means of a pipeline method involving processes such as a parser, part-of-speech tagger, named entity recognition system, pattern-based classification and word sense disambiguation models, and resources such as an ontology, knowledge base and lexical databases. With the use of knowledge intensive strategies to process the input data and corpus-based techniques to deal both with unpredicted cases and ambiguity problems, we expect to accurately discover most of the relevant relations for known and new entities, in an automated way.

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Authors and Affiliations

  1. Knowledge Media Institute & Centre for Research in Computing, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

    Lucia Specia & Enrico Motta

Authors
  1. Lucia Specia
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  2. Enrico Motta
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Editor information

Editors and Affiliations

  1. The European Center for Counterterrorism Research and Studies Department of Computer Science and Engineering, Aalborg University, DK-6700, Esbjerg, Denmark

    Henrik Legind Larsen

  2. DISCO, University Milano-Bicocca, Milano, Italy

    Gabriella Pasi

  3. Computer Science Department, Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    Daniel Ortiz-Arroyo

  4. Department of Computer Science, Roskilde University, P.O. Box 260, DK-4000, Roskilde, Denmark

    Troels Andreasen

  5. Research group PLIS: Programming, Logic and Intelligent Systems, Department of Communication, Business and Information Technologies, Roskilde University, P.O. Box 260, DK-4000, Roskilde, Denmark

    Henning Christiansen

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© 2006 Springer-Verlag Berlin Heidelberg

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Specia, L., Motta, E. (2006). A Hybrid Approach for Relation Extraction Aimed at the Semantic Web. In: Larsen, H.L., Pasi, G., Ortiz-Arroyo, D., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2006. Lecture Notes in Computer Science(), vol 4027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11766254_48

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  • DOI: https://doi.org/10.1007/11766254_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34638-8

  • Online ISBN: 978-3-540-34639-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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