Paper Title:
A Flexible Query Answering Approach for Autonomous Web Databases
  Abstract

Users often have imprecise ideas when searching the autonomous Web databases and thus may not know how to precisely formulate queries that lead to satisfactory answers. This paper proposes a novel flexible query answering approach that uses query relaxation mechanism to present relevant answers to the users. Based on the user initial query and the data distribution, we first speculate how much the user cares about each attribute and assign a corresponding weight to it. Then, the initial query is relaxed by adding the most similar attribute values into the query criteria range. The relaxation order of attributes specified by the query and the relaxed degree on each specified attribute are varied with the attribute weights. The first attribute to be relaxed is the least important attribute. For the relevant result tuples, they are finally ranked according to their satisfaction to the initial query. The efficiency of our approach is also demonstrated by experimental result.

  Info
Periodical
Edited by
Yanwen Wu
Pages
549-554
DOI
10.4028/www.scientific.net/AMR.267.549
Citation
X. F. Meng, X. Y. Zhang, X. X. Li, "A Flexible Query Answering Approach for Autonomous Web Databases", Advanced Materials Research, Vol. 267, pp. 549-554, 2011
Online since
June 2011
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Price
$32.00
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