International Conference on Flexible Query Answering Systems

FQAS 2013: Flexible Query Answering Systems pp 671-682

Contextualization and Personalization of Queries to Knowledge Bases Using Spreading Activation

  • Ana B. Pelegrina
  • Maria J. Martin-Bautista
  • Pamela Faber
Conference paper

DOI: 10.1007/978-3-642-40769-7_58

Volume 8132 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Pelegrina A.B., Martin-Bautista M.J., Faber P. (2013) Contextualization and Personalization of Queries to Knowledge Bases Using Spreading Activation. In: Larsen H.L., Martin-Bautista M.J., Vila M.A., Andreasen T., Christiansen H. (eds) Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science, vol 8132. Springer, Berlin, Heidelberg

Abstract

Most taxonomies and thesauri offer their users a huge amount of structured data. However, this volume of data is often excessive, and, thus does not fulfill the needs of the users, who are trying to find specific information related to a certain concept. While there are techniques that may partially alleviate this problem (e.g. visual representation of the data), some of the effects of the information overload persist. This paper proposes a four-step mechanism for personalization and knowledge extraction, derived from the information about users’ activities stored in their profiles. More precisely, the system extracts contextualization from the users’ profiles by using a spreading activation algorithm. The preliminary results of this approach are presented in this paper.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ana B. Pelegrina
    • 1
  • Maria J. Martin-Bautista
    • 2
  • Pamela Faber
    • 1
  1. 1.Department of Translation and InterpretingUniversity of GranadaSpain
  2. 2.Department of Computer Science and Artificial IntelligenceUniversity of GranadaSpain