Classifying Ontology towards an Application for Radiological Technology

Abstract

This study aims to grasp the target area of the literature on ontology and to apply it in radiological technology. We used Google scholar to search the literature containing the keyword “ontology”. Our search identified and extracted 162,381 words from 29 manuscripts and used the 8,706 nouns excluding duplicates as individual variable. Using a cluster analysis, we categorized the documents to one of the following five classifications: (1) “Systematization of vocabulary by text mining”, (2) “Hierarchy of language information”, (3) “Conceptualization of situation”, (4) “Standardization of lexical information”, and (5) “Visualization of the concepts related to the problem”. We propose that the terminologies in (2), (4), and (5) cluster can be used in radiological technology field.