International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 69 - Number 3 |
Year of Publication: 2013 |
Authors: Jarunee Saelee, Veera Boonjing |
10.5120/11819-7500 |
Jarunee Saelee, Veera Boonjing . A Metadata Search Approach to Keyword Query in Relational Databases. International Journal of Computer Applications. 69, 3 ( May 2013), 1-7. DOI=10.5120/11819-7500
This paper proposes an effective approach to keyword query in relational databases. It uses a semantic graph model consisting of database metadata, database values, user terms, and their semantic connections. Keywords of a query determine all possible connected subgraphs of the semantic model. A query answer is a subgraph with the minimum connections. In addition, the approach proposes to rank result tuples of the answer subgraph using the IR-style ranking function. Our experiment results show that queries with metadata terms give more precise answers than queries without them.