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

Authors:
Aditya Telang;Sharma Chakravarthy;Chengkai Li
Affiliations:
Department of Computer Science & Engineering, The University of Texas at Arlington, Arlington 76019;Department of Computer Science & Engineering, The University of Texas at Arlington, Arlington 76019;Department of Computer Science & Engineering, The University of Texas at Arlington, Arlington 76019
Venue:
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Year:
2009

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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.