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Squirrel: An Advanced Semantic Search and Browse Facility

  • Alistair Duke
  • Tim Glover
  • John Davies
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4519)

Abstract

Search is seen as a key application that can benefit from semantic technology with improvements to recall and precision over conventional Information Retrieval techniques. This paper describes Squirrel, a search and browse tool that provides access to semantically annotated data. Squirrel provides combined keyword based and semantic searching. The intention is to provide a balance between the speed and ease of use of simple free text search and the power of semantic search. In addition, the ontological approach provides the user with a much richer browsing experience. Squirrel builds on and integrates a number of semantic technology components. These include machine learning and information extraction components which generate, extract and manage semantic metadata contained within and about textual documents at index time. A number of run-time components have also been integrated to deliver an enhanced user experience which goes beyond merely presenting a list of documents as a query response. The tool has been trialled and evaluated in two case studies and we report early results from this exercise, revealing promising results.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Alistair Duke
    • 1
  • Tim Glover
    • 1
  • John Davies
    • 1
  1. 1.Next Generation Web Research Group, BT Group, Adastral Park, IpswichUK

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