DBXplorer: A System for Keyword-Based Search over Relational Databases
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Keyword Searching and Browsing in Databases using BANKS
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Bidirectional expansion for keyword search on graph databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
TreeCluster: clustering results of keyword search over databases
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Visualization of Heterogeneous Data
IEEE Transactions on Visualization and Computer Graphics
Efficiently enumerating results of keyword search over data graphs
Information Systems
Keyword proximity search in complex data graphs
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Keyword search on structured and semi-structured data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
EasyKSORD: A Platform of Keyword Search Over Relational Databases
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Study on efficiency and effectiveness of KSORD
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Multi-dimensional keyword-based image annotation and search
Proceedings of the 2nd International Workshop on Keyword Search on Structured Data
Hi-index | 0.00 |
The integration of database and information retrieval techniques provides users with a wide range of high quality services. We present a prototype system, called NUITS, for efficiently processing keyword queries on top of a relational database. Our NUITS allows users to issue simple keyword queries as well as advanced keyword queries with conditions. The efficiency of keyword query processing and the user-friendly result display will also be addressed in this paper.