In the modern world of technology, the ontology is considered as an important factor in integrating data and creating semantic links between concepts. Given the reasoners and tools provided, processing is possible on the information stored in the ontology. Since description logic, as a formal language in the expression of ontologies, lacks the necessary means to create a time dimension in the relationship between data, hence, new semantic web tools can help descriptive logic to create the capability to process and deduce of temporal relationships. In this regard, identifying methods for modeling time and how it relates to other non-temporal concepts in the ontology can be very significant. Research on the history of science with a focus on the concepts of time and temporal queries is scarce. This manuscript aims to study a set of papers on the history of medical sciences to extract recurrent patterns of queries. In the following, an ontology of the medical history was created comprising the two Islamic medical and European scientific revolution eras, and the queries were expressed in SQWRL according to the proposed model. In this research, the N-array and SWRL temporal models have been used for time concepts.

中文翻译：

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一种使用时间推理机来回答科学问题历史的方法

在现代技术世界中，本体被视为整合数据和在概念之间创建语义链接的重要因素。给定提供的推理器和工具，就​​可以对存储在本体中的信息进行处理。由于描述逻辑作为本体表达中的一种形式语言，缺乏在数据之间的关系中创建时间维度的必要手段，因此，新的语义网络工具可以帮助描述性逻辑创建处理和推断时间关系的能力。在这方面，确定用于建模时间的方法及其与本体中其他非时间性概念的关系可能非常重要。缺乏以时间和时间查询概念为重点的科学史研究。该手稿旨在研究一组有关医学历史的论文，以提取重复出现的查询模式。在下文中，创建了包括两个伊斯兰医学和欧洲科学革命时代的医学史本体，并根据所提出的模型以SQWRL表示查询。在这项研究中，N数组和SWRL时间模型已用于时间概念。