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  1. University of Information Technology
  2. Faculty of Information Science

EFFICIENT SCHEMA BASED KEYWORD SEARCH IN RELATIONAL DATABASES

http://hdl.handle.net/20.500.12678/0000005400
ffcbb8f3-f13e-494b-8582-0fa85dafe86d
7dc2e0c6-2efe-46ab-bd82-70bc6ea99ee8
Publication type Journal article
Upload type Publication
Title
EFFICIENT SCHEMA BASED KEYWORD SEARCH IN RELATIONAL DATABASES
en
Publication date 2012-12-01
Authors
Myint Myint Thein
Mie Mie Su Thwin
Description
Keyword search in relational databases allows user to search information without knowing database
schema and using structural query language (SQL). In this paper, we address the problem of generating
and evaluating candidate networks. In candidate network generation, the overhead is caused by raising the
number of joining tuples for the size of minimal candidate network. To reduce overhead, we propose
candidate network generation algorithms to generate a minimum number of joining tuples according to the
maximum number of tuple set. We first generate a set of joining tuples, candidate networks (CNs). It is
difficult to obtain an optimal query processing plan during generating a number of joins. We also develop a
dynamic CN evaluation algorithm (D_CNEval) to generate connected tuple trees (CTTs) by reducing the
size of intermediate joining results. The performance evaluation of the proposed algorithms is conducted
on IMDB and DBLP datasets and also compared with existing algorithms.
Keywords
Candidate Network
Keywords
Connected Tuple Tree
Keywords
Joining Tuples
Keywords
Keyword Query
Keywords
Keyword Search
Keywords
Relational Database
Journal articles
International Journal of Computer Science, Engineering and Information Technology
13-32
Volume 2, No. 6
Conference papers
IJCSEIT
December, 2012
International Journal of Computer Science, Engineering and Information Technology
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