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

• 作者: J Harold Pardue William T Gerthoffer
• 来源期刊: 世界生物化学杂志：英文版（电子版）
• 学科: 工学
• 关键词: BIOMEDICAL informatics BIOINFORMATICS Knowledge SHARING Ontology matching Heterogeneous SEMANTICS SEMANTIC integration SEMANTIC data MINING SEMANTIC text MINING Security risk
• 年，卷（期）: 2012,（2）
• 页码范围: 27-33
• 页数: 7页
• 分类号: TP311.13

摘要

Computational techniques have been adopted in medi-cal 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 origi- nal 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.