Analyzing inconsistency toward enhancing integration of biological molecular databases
Chen, Yi-Ping Phoebe and Chen, Qingfeng 2006, Analyzing inconsistency toward enhancing integration of biological molecular databases, in Proceedings of the 4th Asia-Pacific Bioinformatics Conference : Taipei, Taiwan, 13-16 February 2006, Imperial College Press, London, England, pp. 197-206.
Proceedings of the 4th Asia-Pacific Bioinformatics Conference : Taipei, Taiwan, 13-16 February 2006
Jiang, Tao Yang, Ueng-Cheng Chen, Yi-Ping Phoebe Wong, Limsoon
Asia-Pacific Bioinformatics Conference
Imperial College Press
Place of publication
The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis approaches such as data mining, information retrieval and machine learning have been used to extract frequent patterns from diverse biological databases. However, the discrepancies, due to the differences in the structure of databases and their terminologies, result in a significant lack of interoperability. Although ontology-based approaches have been used to integrate biological databases, the inconsistent analysis of biological databases has been greatly disregarded. This paper presents a method by which to measure the degree of inconsistency between biological databases. It not only presents a guideline for correct and efficient database integration, but also exposes high quality data for data mining and knowledge discovery.