On Identifying Points of Semantic Shift Across Domains

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.