DocumentCode
3124919
Title
FRISK: Keyword Query Cleaning and Processing in Action
Author
Pu, Ken Q. ; Yu, Xiaohui
Author_Institution
Fac. of Sci., Univ. of Ontario Inst. of Technol., Oshawa, ON
fYear
2009
fDate
March 29 2009-April 2 2009
Firstpage
1531
Lastpage
1534
Abstract
Keyword search provides a simple yet effective way for the users to query and explore the underlying documents. In the recent years, there have been a great deal of research and development activities on extending keyword search capabilities to handle relational data, the dominant form in which business data are stored. Algorithms and prototype systems, such as Discover, DBXplorer, BANKS, and SPARK, have been developed to support retrieving relevant information from relational databases using keyword queries.
Keywords
query processing; relational databases; FRISK; information retrieval; keyword query cleaning; keyword query processing; keyword search; relational database handling; Books; Cleaning; Data engineering; Information retrieval; Information technology; Keyword search; Prototypes; Relational databases; Web sites; World Wide Web; keyword query cleaning; keyword search;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location
Shanghai
ISSN
1084-4627
Print_ISBN
978-1-4244-3422-0
Electronic_ISBN
1084-4627
Type
conf
DOI
10.1109/ICDE.2009.139
Filename
4812565
Link To Document