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Extended Semantic Web Conference

ESWC 2012: The Semantic Web: Research and Applications pp 103–118Cite as

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A Novel Concept-Based Search for the Web of Data Using UMBEL and a Fuzzy Retrieval Model

A Novel Concept-Based Search for the Web of Data Using UMBEL and a Fuzzy Retrieval Model

  • Melike Sah21 &
  • Vincent Wade21 
  • Conference paper
  • 2809 Accesses

  • 2 Citations

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7295)

Abstract

As the size of Linked Open Data (LOD) increases, the search and access to the relevant LOD resources becomes more challenging. To overcome search difficulties, we propose a novel concept-based search mechanism for the Web of Data (WoD) based on UMBEL concept hierarchy and fuzzy-based retrieval model. The proposed search mechanism groups LOD resources with the same concepts to form categories, which is called concept lenses, for more efficient access to the WoD. To achieve concept-based search, we use UMBEL concept hierarchy for representing context of LOD resources. A semantic indexing model is applied for efficient representation of UMBEL concept descriptions and a novel fuzzy-based categorization algorithm is introduced for classification of LOD resources to UMBEL concepts. The proposed fuzzy-based model was evaluated on a particular benchmark (~10,000 mappings). The evaluation results show that we can achieve highly acceptable categorization accuracy and perform better than the vector space model.

Keywords

  • Categorization
  • concept-based search
  • data mining
  • semantic indexing
  • fuzzy retrieval model
  • linked open data
  • UMBEL concept hierarchy

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References

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Author information

Authors and Affiliations

  1. Knowledge and Data Engineering Group, Trinity College Dublin, Dublin, Ireland

    Melike Sah & Vincent Wade

Authors
  1. Melike Sah
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  2. Vincent Wade
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Editor information

Editors and Affiliations

  1. Institute AIFB, Karlsruhe Institute of Technology, Englerstrasse 11, 76131, Karlsruhe, Germany

    Elena Simperl

  2. CITEC, University of Bielefeld, Morgenbreede 39, 33615, Bielefeld, Germany

    Philipp Cimiano

  3. Siemens AG Österreich, Siemensstrasse 90, 1210, Vienna, Austria

    Axel Polleres

  4. Technical University of Madrid, C/ Severo Ochoa, 13, 28660, Boadilla del Monte, Madrid, Spain

    Oscar Corcho

  5. STLab, ISTC-CNR, Via Nomentana 56, 00161, Rome, Italy

    Valentina Presutti

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sah, M., Wade, V. (2012). A Novel Concept-Based Search for the Web of Data Using UMBEL and a Fuzzy Retrieval Model. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds) The Semantic Web: Research and Applications. ESWC 2012. Lecture Notes in Computer Science, vol 7295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30284-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-30284-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30283-1

  • Online ISBN: 978-3-642-30284-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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