Title: An on demand data integration model for biological databases

Authors: Mathew Palakal, Pavithra Naidu

Addresses: School of Informatics, Indiana University Purdue University Indianapolis, 535 West Michigan St., IT 475, Indianapolis, Indiana, USA. ' School of Informatics, Indiana University Purdue University Indianapolis, 535 West Michigan St., IT 475, Indianapolis, Indiana, USA

Abstract: This paper presents a user-centric biological query system for information integration and knowledge acquisition from distributed, semantically heterogeneous data sources. The proposed system, BioXBase, extracts user requested query information over the internet from multiple biological sources and organises this information into a homogeneous unified view to the user. This entire process is done in real time on-the-fly. The BioXBase system has improved the results retrieved by 30% compared to a system that has only a local database. The BioXBase system is further enhanced by 20% while combining the results with a local database, making the results more significant in biological domain.

Keywords: data integration; knowledge discovery; text mining; knowledge integration; biomedical databases; data mining; bioinformatics; biological databases; biological query systems; information integration; knowledge acquisition.

DOI: 10.1504/IJDMB.2009.023883

International Journal of Data Mining and Bioinformatics, 2009 Vol.3 No.1, pp.40 - 54

Published online: 17 Mar 2009 *

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