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

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Conceptual Modeling - ER 2009 (ER 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5829))

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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.

This work was supported, in part, by the NSF Grant IIS 0534611.

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Telang, A., Chakravarthy, S., Li, C. (2009). Query-By-Keywords (QBK): Query Formulation Using Semantics and Feedback. In: Laender, A.H.F., Castano, S., Dayal, U., Casati, F., de Oliveira, J.P.M. (eds) Conceptual Modeling - ER 2009. ER 2009. Lecture Notes in Computer Science, vol 5829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04840-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-04840-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04839-5

  • Online ISBN: 978-3-642-04840-1

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