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Digital Libraries, Joint Conference on (2004)
Tuscon, AZ, USA
June 7, 2004 to June 11, 2004
ISBN: 1-58113-832-6
pp: 98-107
Marcos Andr? Gon?alves , Virginia Tech, Blacksburg, VA
Edward A. Fox , Virginia Tech, Blacksburg, VA
Aaron Krowne , Emory University, Atlanta, GA
P?vel Calado , Federal University of Minas, Belo Horizonte, Brazil
Alberto H. F. Laender , Virginia Tech, Blacksburg, VA
Altigran S. da Silva , Federal University of Amazonas, Manaus, AM, Brazil
Berthier Ribeiro-Neto , Akwan Information Technologies, Belo Horizonte, MG, Brazil
Structured or fielded metadata is the basis for many digital library services, including searching and browsing. Yet, little is known about the impact of using structure on the effectiveness of such services. In this paper, we investigate a key research question: do structured queries improve effectiveness in DL searching? To answer this question, we empirically compared the use of unstructured queries to the use of structured queries. We then tested the capability of a simple Bayesian network system, built on top of a DL retrieval engine, to infer the best structured queries from the keywords entered by the user. Experiments performed with 20 subjects working with a DL containing a large collection of computer science literature clearly indicate that structured queries, either manually constructed or automatically generated, perform better than their unstructured counterparts, in the majority of cases. Also, automatic structuring of queries appears to be an effective and viable alternative to manual structuring that may significantly reduce the burden on users.
Digital Libraries, Structured Queries, Bayesian Networks

P. Calado et al., "The Effectiveness of Automatically Structured Queries in Digital Libraries," Digital Libraries, Joint Conference on(JCDL), Tuscon, AZ, USA, 2004, pp. 98-107.
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