Bayoudhi Leila, Sassi Najla, Jaziri Wassim
Miracl Laboratory, Universiy of Sfax, Sfax, Tunisia.
CCSE, Taibah University, Medina, Saudi Arabia.
Procedia Comput Sci. 2021;192:4249-4258. doi: 10.1016/j.procs.2021.09.201. Epub 2021 Oct 1.
Several infectious diseases and pandemics have so far emerged. Pandemics are by nature rapidly evolving. In this context, COVID-19 cases, seen recently in a growing number of countries around the world, have been increasing exponentially. So, researchers and responsible actors should take quick decisions to mitigate the spread of such diseases. To do so, several computer science solutions, including ontologies, have been proposed to cope with these issues and save humanity. The ontology is the key formalism which allows modelling knowledge along with its semantics in a formal way. Indeed, the ontology provides unambiguous definitions of a discourse's domain terms in a machine understandable way. Particularly, biomedical ontologies have ever been developed to capture and represent pandemics and infectious diseases. In this context, this paper aims to scrutinize and study these state-of-the-art ontologies.
到目前为止，已经出现了几种传染病和大流行病。大流行病本质上是迅速演变的。在这种背景下，最近在世界上越来越多的国家出现的新冠肺炎病例呈指数级增长。因此，研究人员和相关负责人应迅速做出决策，以减缓此类疾病的传播。为此，已经提出了包括本体论在内的几种计算机科学解决方案来应对这些问题并拯救人类。本体论是一种关键的形式化方法，它允许以形式化的方式对知识及其语义进行建模。事实上，本体论以机器可理解的方式提供了话语领域术语的明确定义。特别是，生物医学本体论一直在被开发，以捕捉和表示大流行病和传染病。在此背景下，本文旨在审视和研究这些最新的本体论。
