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Bridging the Syntactic and the Semantic Web Search

  • Conference paper
Artificial Neural Networks – ICANN 2006 (ICANN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4132))

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Abstract

This paper proposes an information system, which aims to bridge the semantic gap in web search. The system uses multiple domain ontological structures expanding the user’s query with semantically related concepts, enhancing in parallel the quality of retrieval to a large extend. Query analyzers broaden the user’s information needs from classical term-based to conceptually representations, using knowledge from relevant ontologies and theirs’ properties. Besides the use of semantics, the system employs machine learning techniques from the field of swarm intelligence through the Ant Colony algorithm, where ants are considered as web agents capable of collecting and processing relevant information. Furthermore, the effectiveness of the approach is verified experimentally, by observing that the retrieval precision for the enhanced queries is in higher levels, in comparison with the results derived from the classical term-based retrieval procedure.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, National Technical University of Athens, Heroon Polytechneiou 9, Zographou, 15773, Athens, Greece

    Georgios Kouzas

  2. Department of Information and Communication Systems Engineering, University of the Aegean, 83200, Karlovassi, Samos, Greece

    Ioannis Anagnostopoulos & Ilias Maglogiannis

  3. Department of Cultural Technology and Communication, University of the Aegean, 81100, Mytiline, Lesvos, Greece

    Christos Anagnostopoulos

Authors
  1. Georgios Kouzas
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  2. Ioannis Anagnostopoulos
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  3. Ilias Maglogiannis
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  4. Christos Anagnostopoulos
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Editor information

Editors and Affiliations

  1. School of Electrical and Computer Engineering, Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, 157 80, Zographou, GR, Greece

    Stefanos Kollias

  2. Department of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zographou, Greece

    Andreas Stafylopatis

  3. Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

    Włodzisław Duch

  4. Adaptive Informatics Research Centre, Helsinki University of Technology, P.O. Box 5400, 02015, HUT, Finland

    Erkki Oja

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© 2006 Springer-Verlag Berlin Heidelberg

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Kouzas, G., Anagnostopoulos, I., Maglogiannis, I., Anagnostopoulos, C. (2006). Bridging the Syntactic and the Semantic Web Search. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_11

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  • DOI: https://doi.org/10.1007/11840930_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38871-5

  • Online ISBN: 978-3-540-38873-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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