Skip to main content
Springer Nature Link
Log in

Enhancing Short Text Retrieval in Databases

  • Conference paper
Flexible Query Answering Systems (FQAS 2006)

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

Included in the following conference series:

Abstract

In this paper, we present a mechanism to deal with short text structures in relational databases. Text fields are transformed into a special knowledge representation named AP-structure based on the Apriori algorithm of the mining area. Once the abstract data type is obtained, the text fields can be summarized, mined, and queried in a easy way. The operations to query these fields are the main aim of this paper.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Agrawal, R., Imielinski, T., Swami, A.: Mining Association rules between set of items in large databases. In: Proceedings of ACM SIGMOD Conference, Washington DC, USA (May 1993)

    Google Scholar 

  2. Agrawal, R., Srikant, R.: Fast Algorithms for mining Association rules. In: Proceedings of VLDB, Santiago, Chile (September 1994)

    Google Scholar 

  3. Berzal, F., Cubero, J.C., Marín, N., Serrano, J.M.: TBAR: An efficient method for association rule mining in relational databases. Data and Knowledge Engineering 37(1), 47–64 (2001)

    Article  MATH  Google Scholar 

  4. Celko, J.: SQL for smarties. In: Advanced SQL Programming. Morgan Kaufmann, San Francisco (2005)

    Google Scholar 

  5. Justicia, C., Martín-Bautista, M.J., Sánchez, D., Vila, M.A.: Text Mining: Intermediate Forms for Knowledge Representation. In: Proceedings of the conference Eusflat 2005, Barcelona, Spain, September 2005, pp. 1082–1087 (2005)

    Google Scholar 

  6. Martín-Bautista, M.J., Prados, M., Vila, M.A., Martínez-Folgoso, S.: A knowledge representation for short texts based on frequent itemsets. In: Proceedings of the 11th Conference of Information Processing and Management of Uncertainty (IPMU), Paris (July 2006) (to appear)

    Google Scholar 

  7. Mack, R., Hehenberger, M.: Text-based knowledge discovery: Search and mining of life-sciences documents. Drug Discovery Today 7(suppl. 11) (2002)

    Google Scholar 

  8. Prados, M., Peña, C., Prados-Suárez, B., Vila, M.A.: Generation and use of one ontology for intelligent information retrieval from electronic health medical record. In: 8th International Conference on Enterprise Information Systems, Cyprus (May 2006) (to appear)

    Google Scholar 

  9. Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Intelligent Databases and Information Systems Research Group, Dept. of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, (Spain)

    N. Marín, M. J. Martín-Bautista, M. Prados & M. A. Vila

Authors
  1. N. Marín
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. J. Martín-Bautista
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Prados
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. M. A. Vila
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Marín, N., Martín-Bautista, M.J., Prados, M., Vila, M.A. (2006). Enhancing Short Text Retrieval in Databases. 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_52

Download citation

  • DOI: https://doi.org/10.1007/11766254_52

  • 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)

Publish with us

Policies and ethics