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Query-By-Keywords (QBK): Query Formulation Using Semantics and Feedback

  • Aditya Telang
  • Sharma Chakravarthy
  • Chengkai Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5829)

Abstract

The staples of information retrieval have been querying and search, respectively, for structured and unstructured repositories. Processing queries over known, structured repositories (e.g., Databases) has been well-understood, and search has become ubiquitous when it comes to unstructured repositories (e.g., Web). Furthermore, searching structured repositories has been explored to a limited extent. However, there is not much work in querying unstructured sources. We argue that querying unstructured sources is the next step in performing focused retrievals. This paper proposed a new approach to generate queries from search-like inputs for unstructured repositories. Instead of burdening the user with schema details, we believe that pre-discovered semantic information in the form of taxonomies, relationship of keywords based on context, and attribute & operator compatibility can be used to generate query skeletons. Furthermore, progressive feedback from users can be used to improve the accuracy of query skeletons generated.

Keywords

Structure Query Query Formulation User Intent Linguistic Meaning Query Condition 
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 2009

Authors and Affiliations

  • Aditya Telang
    • 1
  • Sharma Chakravarthy
    • 1
  • Chengkai Li
    • 1
  1. 1.Department of Computer Science & EngineeringThe University of Texas at ArlingtonArlington

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