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An ontological framework for modeling the contents of definitions

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This paper addresses the troublesome question of feature selection and content prediction in definition writing. I present the basis of definition-authoring tools that can be used across a range of contexts, independently of the domain and language of the definitions. In addition to being domain- and language-independent, these tools should be easily tailorable to specific domains. Thus, my work seeks to contribute to developing generic definition-writing aids that can be tailored to a range of different contexts and domains. The objectives of this article are: (1) to show that it is possible to create implementable generic definition models; (2) to show how to constrain these models to produce definitions relevant to particular contexts; and (3) to propose an ontological analysis framework with a fixed and well-motivated descriptive vocabulary that can be used in further content analysis studies in terminology and to enhance integration of textual definitions in ontologies.
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Keywords: Basic Formal Ontology (BFO); conceptual analysis; definition contents; definitions; feature relevance; metalanguage; ontological analysis; ontological annotation schema; ontologies

Document Type: Research Article

Publication date: January 1, 2015

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  • International Journal of Theoretical and Applied Issues in Specialized Communication
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