Keyword-Based Search over Semantic Data

  • Klara Weiand
  • Andreas Hartl
  • Steffen Hausmann
  • Tim Furche
  • François Bry
Chapter
Part of the Data-Centric Systems and Applications book series (DCSA)

Abstract

Enabling nonexperts to publish structured or semantic data on the web is an important achievement of the social web and one of the primary goals of the social semantic web. Making this data easily accessible in turn has received only little attention. Querying in semantic wikis typically uses full-text search for the textual content and a web query language for the annotations. This has two shortcomings: combined queries over content and annotations are not possible, and users either are restricted to simple but vague keyword queries or have to learn a complex web query language. In this chapter, we present an overview of KWQL, a query language that combineskeyword search and web querying. KWQL scales with a users’ experience and the sophistication of its information need by a seamless transition from basic keyword queries to precise, sophisticated structured analysis queries. KWQL allows for rich combined queries of full text, metadata, document structure, and annotations. KWQL’s companion language visKWQL eases the authoring of such combined queries further through a set of visual building blocks. The underlying query engine provides the full expressive power of first-order queries, but, at the same time evaluates basic queries at almost the speed of a conventional search engine. Results of a user study validate that users can quickly, and with very little training, formulate KWQL and visKWQL queries, including structured queries.

Keywords

Query Language Keyword Search Evaluation Phase Content Item Query Evaluation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Klara Weiand
    • Andreas Hartl
      • 1
    • Steffen Hausmann
      • 2
    • Tim Furche
      • 3
    • François Bry
      • 4
    1. 1.Ludwig-Maximilians-Universität MünchenMünchenGermany
    2. 2.Department of Computer Science and Institute for the Future of ComputingOxford UniversityOxfordUK
    3. 3.Department of Computer Science and Institute for the Future of ComputingOxford UniversityOxfordUK
    4. 4.Department of Computer Science and Institute for the Future of ComputingOxford UniversityOxfordUK

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