The semantics used for particular terms in an academic field organically evolve over time. Tracking this evolution through inspection of published literature has either been from the perspective of Linguistic scholars or has concentrated the focus of term evolution within a single domain of study. In this paper, we performed a case study to identify semantic evolution across different domains and identify examples of inter-domain semantic shifts. We initially used keywords as the basis of our search and executed an iterative process of following citations to find the initial mention of the concepts in the field. We found that a select set of keywords like ``semaphore'', ``polymorphism'', and ``ontology'' were mentioned within Computer Science literature and tracked the seminal study that borrowed those terms from original fields by citations. We marked these events as semantic evolution points. Through this manual investigation method, we can identify term evolution across different academic fields. This study reports our initial findings that will seed future automated and computational methods of incorporating concepts from additional academic fields.

翻译：学术领域中特定术语的语义会随时间有机演变。通过查阅已发表文献追踪这种演变,要么是从语言学学者的视角出发,要么聚焦于单一学科领域内的术语演化。本文通过案例研究,识别了不同领域间的语义演变,并发现了跨领域语义转变的实例。我们首先以关键词作为搜索基础,执行迭代式文献引文追踪流程,以找到这些概念在领域中的最初出处。研究发现,"semaphore"、"polymorphism"和"ontology"等若干关键词在计算机科学文献中被提及,并通过引文追踪追溯到了这些术语从原始领域借用的开创性研究。我们将这些事件标记为语义演变点。通过这种人工调研方法,我们能够识别不同学术领域间的术语演变。本研究报告了我们的初步发现,这将为未来融合更多学术领域概念的自动化计算方法奠定基础。