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

Abstract

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.

Analysis of evidence appraisals for interventional studies in family medicine using an informatics approach

“…“Study Design”) (Saldaña, 2016; Samuel et al , 2017). In this study, the informatics term “knowledge acquisition” (Huang et al , 2012) refers to manual review of journal comments, identification of text fragments where the comment author is expressing an appraisal, and open coding of this appraisal. Axial codes are termed categories.…”

The development of non-coding RNA ontology

“…Emerging semantic technologies have been successfully applied to promote more precise communication among scientists in biological, biomedical, and clinical domains (Bard, 2003; Blake, 2004; Blake and Bult, 2006; Huang et al, 2010; Huang et al, 2012; http://neurocommons.org). In particular, the Open Biological and Biomedical Ontologies (OBO) Library (see http://www.obo.sourceforge.net/) has served as an umbrella for different bio-ontologies shared across various domains.…”

A domain ontology for the Non-Coding RNA field

“…* Corresponding author (Email: huang@southalabama.edu) Emerging semantic technologies have been successfully applied to promote more precise communication among scientists in biological, biomedical, and clinical domains [1][2][3][4][5][6]. In particular, the Open Biological and Biomedical Ontologies (OBO) Library [7] has served as an umbrella for different bioontologies shared across various domains.…”