The inherent diversity and complexity of biological data sources make traditional information retrieval technologies unsuitable for handling the problems that arise with the retrieval of biological documents on the Internet. Furthermore, biological data sources in all their variety have specific domains and objectives that differ from other user interface, query formats, result sets and database organizations. To meet the problems of unification in both their syntactic and semantic aspects, we here present a unified, adjustable, and extractable Biological Data Mining-Broker (BDMB). Based on XML technology, the broker provides a federated forum model that handles heterogeneity of sources. It also uses a feedback-based utility for raw and meaningful extracted cache techniques that makes the system more efficient and accurate. The experimental results show that the system performs well and is ideal for biological data mining processes with many different data sources, mining applications, and knowledge analysts. It is very useful for target discovery and bioinformatics research projects.
