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Text Retrieval and Visualization in Databases Using Tag Clouds

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Part of the Communications in Computer and Information Science book series (CCIS,volume 297)

Abstract

This paper proposes a novel text information retrieval and visualization approach. This method allows users to browse and query texts in databases in a simple and efficient way. To facilitate content identification, the attractive design of tag clouds has been combined with an innovative text representation structure developed by our research group. This structure stems from the semantics in text representation since it keeps terms together and does not activate them separately. This structure has also been improved by the inclusion of both term order and term weight. Our proposal thus provides a more accurate form of querying and visualization by means of tag clouds.

Keywords

  • Semantic search
  • knowledge visualization
  • multi-term
  • tag cloud
  • unstructured databases
  • content identification

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© 2012 Springer-Verlag Berlin Heidelberg

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Torres-Parejo, U., Campaña, J.R., Vila, MA., Delgado, M. (2012). Text Retrieval and Visualization in Databases Using Tag Clouds. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_40

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  • DOI: https://doi.org/10.1007/978-3-642-31709-5_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31708-8

  • Online ISBN: 978-3-642-31709-5

  • eBook Packages: Computer ScienceComputer Science (R0)