The Evolutionary Process of IT Concept Words: A Case Study on IoT
Rieko Kataoka, Naoshi Uchihira, 康夫 井川 · 2018
In information technology, new concept words appear every few years and affect the business environment. In several cases, the core technologies and architectures have remained the same despite minor changes in concepts. For example, Bigdata was succeeded by the IoT (Internet of Things). The trend in concept words reveals an evolutionary pattern. In this study, we applied a text mining approach to analyzing all the articles in several popular IT magazines for 15 years, and we proposed a new model of IT concept words transition. The model shows that there are three phases of concept evolution. Some related concepts appeared together in the first phase. In the second phase, such a group of words integrates to form a new concept. Finally, the concept develops into a general word and gains recognition in each industry as a completely specialized concept. This is the third series of research since our papers for PICMET2014 & 2016 focused on Cloud Computing. In this paper, we re-analyze the articles by expanding two more years focusing on Bigdata and IoT in addition to Cloud Computing. As a result, we show that the confidence level of the model is further increased.