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Contextualization and Personalization of Queries to Knowledge Bases Using Spreading Activation

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Flexible Query Answering Systems (FQAS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8132))

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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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Author information

Authors and Affiliations

  1. Department of Translation and Interpreting, University of Granada, Spain

    Ana B. Pelegrina & Pamela Faber

  2. Department of Computer Science and Artificial Intelligence, University of Granada, Spain

    Maria J. Martin-Bautista

Authors
  1. Ana B. Pelegrina
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  2. Maria J. Martin-Bautista
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  3. Pamela Faber
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Editor information

Editors and Affiliations

  1. Department of Electronic Systems, Aalborg University, 6700, Esbjerg, Denmark

    Henrik Legind Larsen

  2. Department of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain

    Maria J. Martin-Bautista

  3. Department of Computer Science and Arificial IntelIigence, University of Granada, 18071, Granada, Spain

    MarĂ­a Amparo Vila

  4. CBIT, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark

    Troels Andreasen

  5. CBIT, Roskilde University, 4000, Roskilde, Denmark

    Henning Christiansen

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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. https://doi.org/10.1007/978-3-642-40769-7_58

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  • DOI: https://doi.org/10.1007/978-3-642-40769-7_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40768-0

  • Online ISBN: 978-3-642-40769-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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