Title :
Effective Keyword Search over Relational Databases Considering Keywords Proximity and Keywords N-grams
Author :
Fakhraee, S. ; Fotouhi, Farshad
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
fDate :
Aug. 29 2011-Sept. 2 2011
Abstract :
The current amount of text data in relational databases is massive and is growing fast. This increases the importance and need for non-technical users to be able to search for such information using a simple keyword search. Researchers have studied and addressed some of the issues with the efficiency and effectiveness of answering keyword queries in relational databases. In this paper we have summarized different factors affecting the effectiveness of the keyword search in relational databases which were studied in the early works. We have also identified two other important factors, namely keywords proximity and keywords N-grams that can further improve the search effectiveness when incorporated in the existing state-of-the-art information retrieval relevance ranking strategies for relational databases. Our experiments show that applying these two factors to the current ranking functions will improve the effectiveness of keyword search in relational databases.
Keywords :
query processing; relational databases; text analysis; keyword proximity; keyword query; keyword search; keywords N-grams; relational database; search effectiveness; text data; Barium; Keyword search; Motion pictures; Relational databases; USA Councils; Keyword Search; Relational databases;
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location :
Toulouse
Print_ISBN :
978-1-4577-0982-1
DOI :
10.1109/DEXA.2011.28