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OLEX – A Reasoning-Based Text Classifier

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Logics in Artificial Intelligence (JELIA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3229))

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Abstract

This paper describes OLEX, a prototypical system for text classification. The main characteristics of OLEX are: using ontologies for the formal representation of the domain knowledge; employing the pre-processing technologies for a symbolic representation of text features; exploiting the expressive power of logic programming to extract concepts from documents. The proposed approach allows us to perform a high-precision document classification.

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References

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Author information

Authors and Affiliations

  1. Exeura s.r.l,  

    Salvatore Iiritano & Pasquale Rullo

  2. Dip. di Matematica, Unical, 87030, Rende, Italy

    Chiara Cumbo & Pasquale Rullo

Authors
  1. Chiara Cumbo
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  2. Salvatore Iiritano
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  3. Pasquale Rullo
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Editor information

Editors and Affiliations

  1. CENTRIA, Universidade Nova de Lisboa, Portugal

    Jóse Júlio Alferes

  2. Departamento de Informática, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    João Leite

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© 2004 Springer-Verlag Berlin Heidelberg

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Cumbo, C., Iiritano, S., Rullo, P. (2004). OLEX – A Reasoning-Based Text Classifier. In: Alferes, J.J., Leite, J. (eds) Logics in Artificial Intelligence. JELIA 2004. Lecture Notes in Computer Science(), vol 3229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30227-8_66

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  • DOI: https://doi.org/10.1007/978-3-540-30227-8_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23242-1

  • Online ISBN: 978-3-540-30227-8

  • eBook Packages: Springer Book Archive

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