A Unified, Adjustable, and Extractable Biological Data Mining-Broker

Abstract

The document formats of biological data sources typically are more versatile and more complicated than the traditional data sources. It is hard to efficiently retrieve useful information from biological data sources by traditional information retrieval technologies. In this paper, we propose a unified, adjustable, and extractable Biological Data Mining-Broker mechanism. Based on XML methodology, the mechanism provides a federated forum model to overcome the heterogeneities of both form and meaning from those different diverse biological data sources. Furthermore, the mechanism also utilizes the feedback-based direct raw and meaningful extracted cache technique to improve the efficiency and accuracy of the system. The experimental results show that our proposed system has good performance, and it is a good choice for biological data mining process with multiple heterogeneous data sources, different mining applications, and knowledge analysts. It is highly useful for target discovery and bioinformatics research projects.