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Integrating Lightweight Reasoning into Class-Based Query Refinement for Object Search

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The Semantic Web (ASWC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5367))

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Abstract

More and more RDF data have been published online to be consumed. Ordinary Web users also expect to experience more intelligent services promised by the Semantic Web, such as object search based on structured data. We implemented the Falcons search engine to meet the challenge. To enable keyword search, for each object, we construct and index a virtual document that includes textual descriptions of its neighboring resources. Typing information is used to serve class-based query refinement, and class-inclusion reasoning is performed to discover implicit types of objects. A method of recommending subclasses is implemented to enable navigating class hierarchies for incremental query refinement. We also report on lessons learned from Web-scale experiments.

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Authors and Affiliations

  1. Institute of Web Science, School of Computer Science and Engineering, Southeast University, Nanjing, 210096, P.R. China

    Gong Cheng & Yuzhong Qu

Authors
  1. Gong Cheng
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  2. Yuzhong Qu
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Editor information

Editors and Affiliations

  1. The Open University Knowledge Media Institute, Walton Hall, MK6 7AA, Milton Keynes, United Kingdom

    John Domingue

  2. Shinawatra University 99 Moo 10 Bangtoey, Samkok, 12160, Pathum Thani, Thailand

    Chutiporn Anutariya

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Cheng, G., Qu, Y. (2008). Integrating Lightweight Reasoning into Class-Based Query Refinement for Object Search. In: Domingue, J., Anutariya, C. (eds) The Semantic Web. ASWC 2008. Lecture Notes in Computer Science, vol 5367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89704-0_31

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  • DOI: https://doi.org/10.1007/978-3-540-89704-0_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89703-3

  • Online ISBN: 978-3-540-89704-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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