Proficient Search in Relational Database Based on Keyword
R. Suresh1, K. Saranya2, S. Dhivya3, K. Thilagapriya4
1R.Suresh, Engineering College Affiliated to the Pondicherry University, Puducherry, India.
2K.Saranya, Engineering College Affiliated to the Pondicherry University, Puducherry, India.
3S.Dhivya, Engineering College Affiliated to the Pondicherry University, Puducherry, India.
4K.Thilagapriya, Engineering College Affiliated to the Pondicherry University, Puducherry, India.
Manuscript received on March 02, 2012. | Revised Manuscript received on March 31, 2012. | Manuscript published on April 30, 2012. | PP: 264-267 | Volume-1 Issue-4, April 2012 | Retrieval Number: D0354041412/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Information retrieval (IR) is the process of attaining documents relevant to an information need from a great document set. The integration of DB and IR provides flexible ways for users to query information in the same platform. Keyword search is the most popular information retrieval method as users need to know neither a query language nor the underlying structure of the data. In this paper we focus on the keyword query ranking and based on the user preference the top-k results will be retrieved from the relational database and returned to the user. This system will provide an efficient query processing and the ranking functions which is based on the scores calculated by different methods. These scores are the basis for the ranking of the documents.
Keywords: Candidate network, Information retrieval, Ranking method.