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 :
بازگشت