Knowledge acquisition, semantic text mining, and security risks in health and biomedical informatics

World J Biol Chem. 2012 Feb 26;3(2):27-33. doi: 10.4331/wjbc.v3.i2.27.


Computational techniques have been adopted in medical and biological systems for a long time. There is no doubt that the development and application of computational methods will render great help in better understanding biomedical and biological functions. Large amounts of datasets have been produced by biomedical and biological experiments and simulations. In order for researchers to gain knowledge from original data, nontrivial transformation is necessary, which is regarded as a critical link in the chain of knowledge acquisition, sharing, and reuse. Challenges that have been encountered include: how to efficiently and effectively represent human knowledge in formal computing models, how to take advantage of semantic text mining techniques rather than traditional syntactic text mining, and how to handle security issues during the knowledge sharing and reuse. This paper summarizes the state-of-the-art in these research directions. We aim to provide readers with an introduction of major computing themes to be applied to the medical and biological research.

Keywords: Bioinformatics; Biomedical informatics; Heterogeneous semantics; Knowledge sharing; Ontology matching; Security risk; Semantic data mining; Semantic integration; Semantic text mining.