A Bayesian network approach to searching Web databases through keyword-based queries

被引：11
作者：
Calado, P [1 ]
da Silva, AS
Laender, AHF
Ribeiro-Neto, BA
Vieira, RC
机构：
[1] Univ Fed Minas Gerais, Dept Comp Sci, BR-30123970 Belo Horizonte, MG, Brazil
[2] Univ Fed Amazonas, Dept Comp Sci, BR-69077000 Manaus, Amazonas, Brazil
来源：
INFORMATION PROCESSING & MANAGEMENT | 2004年 / 40卷 / 05期
关键词：
Web databases; Bayesian networks; query structuring;
D O I：
10.1016/j.ipm.2004.03.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
On-line information services have become widespread in the Web nowadays. However, Web users are non-specialized and have a great variety of interests. Interfaces for Web databases must, therefore, be both simple and uniform. In this paper, we present a solution for querying Web databases using keywords only. A Bayesian network model is used to generate a set of one or more plausible structured queries derived form the initial user input. These queries can then be submitted to Web databases and the retrieved results presented as a set of ranked answers. To structure the user queries, full access to the database is not required. Instead, only a small portion of its content, extracted through a public Web interface, is used by the network model. This approach not only reduces the complexity of existing on-line interfaces, but also offers a solution to the problem of querying several distinct Web databases with a single interface. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：773 / 790
页数：18
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