DocumentCode
2111979
Title
Database Keyword Search: A Perspective from Optimization
Author
Patil, Rahul ; Zhengxin Chen ; Yong Shi
Author_Institution
Coll. of Inf. Sci. & Technol., Univ. of Nebraska at Omaha, Omaha, NE, USA
Volume
3
fYear
2012
fDate
4-7 Dec. 2012
Firstpage
30
Lastpage
33
Abstract
Optimization-related techniques are playing ever increasing role for Web intelligence. Yet optimization may mean different things to different people. In this paper, starting with a general discussion on the many facets of optimization in information technology (IT), we focus our examination on the recent development in database keyword search, from an optimization-oriented perspective. We first present a review and analysis on related literature, pointing out the need for incorporating contextual information in database keyword queries to achieve better performance. We then present our recently proposed approach, where keyword search is extended to simple English queries to better capture user intension. We conclude this paper by providing a discussion on the importance of database keyword search optimization for data mining and Web intelligence.
Keywords
Internet; data mining; natural language processing; optimisation; query processing; relational databases; English queries; Web intelligence; contextual information; data mining; database keyword queries; database keyword search optimization; information technology optimization; user intension; English Query; Relational database; Search;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
Conference_Location
Macau
Print_ISBN
978-1-4673-6057-9
Type
conf
DOI
10.1109/WI-IAT.2012.188
Filename
6511643
Link To Document