Structuring keyword-based queries for web databases

Authors:
Rodrigo C. Vieira;Pavel Calado;Altigran S. da Silva;Alberto H. F. Laender;Berthier A. Ribeiro-Neto
Affiliations:
Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
Venue:
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Year:
2002

Citing 3
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Data & Knowledge Engineering

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Abstract

This paper describes a framework, based on Bayesian belief networks, for querying Web databases using keywords only. According to this framework, the user inputs a query through a simple search-box. From the input query, one or more plausible structured queries are derived and submitted to Web databases. The results are then retrieved and presented to the user as ranked answers. To evaluate our framework, an experiment using 38 example queries was carried out. We found out that 97% of the time, one of the top three resulting structured queries is the proper one. Further, when the user selects one of these three top queries for processing, the ranked answers present average precision figures of 92%.