Context-Driven Use of Automatic Tools in Medical Ontology Design: A Case Study in Allergology
Parole chiave:
Medical ontologies, Terminology extraction, Document annotation, Document indexing, Contextualized approachAbstract
The aim of this paper is to show a context-driven use of automatic tools for medical ontology design. Following an analysis of the limitations of the content-driven and quantitative approaches currently used by knowledge organization specialists, we propose a contextualized and qualitative approach. This approach enables the definition of user-oriented resources and criteria for conducting semi-automatic terminology extraction and annotation tasks, ultimately supporting the development of a useful allergology ontology. At the same time, it reveals a paradox: although automatic tools are intended to reduce time-consuming processes, qualitative methods require considerable time and effort to collect and analyze contextual data.
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