Query reuse based query planning for searches over the deep web

Fan Wang, Gagan Agrawal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Nowadays, data dissemination often involves online databases that are hidden behind query forms, thus forming the deep web. Lately, there has been a lot of research interest on supporting query answering over the deep web. To answer a deep web query efficiently, the current approaches generate a query plan for each query independently. However, in practice, deep web queries issued by a user over a short period of time can often share similarities. This, if properly utilized, can help us in generating more efficient query plan. In this paper, we have developed a solution for generating query plan for a deep web query based on the similarities between a given query and a set of earlier queries. Our algorithm systematically finds the reusable components of earlier query plans, and then develops a new query plan reusing these. While the resulting query plans may not be optimal, they are likely to enable more data reuse, and hence, speedup the execution.

Original languageEnglish (US)
Title of host publicationDatabase and Expert Systems Applications - 21st International Conference, DEXA 2010, Proceedings
Pages64-79
Number of pages16
EditionPART 2
DOIs
StatePublished - 2010
Externally publishedYes
Event21st International Conference on Database and Expert Systems Applications, DEXA 2010 - Bilbao, Spain
Duration: Aug 30 2010Sep 3 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6262 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Database and Expert Systems Applications, DEXA 2010
Country/TerritorySpain
CityBilbao
Period8/30/109/3/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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