Title: Philosophical Scrutiny for Run-Time Support of Application Ontology Development
Abstract: The development and maintenance of domain-specific application on- tologies require knowledge input from domain experts who are usually without any formal ontology or AI background. When dealing with large-scale ontologies, for example of the kind with which we are currently familiar in the biomedical spheres, quality assurance becomes important in minimizing modelling mistakes and the ap- plication errors which they bring in their wake. In this paper we describe how the upper-level framework BFO (for: Basic Formal Ontology), developed by the Insti- tute for Formal Ontology and Medical Information Science, is being used to provide automatic error detection and run-time modelling support to the development of LinKBase®, a large-scale medical domain ontology developed by Language and Computing NV to serve a range of natural language processing applications.
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
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Cited By Count: 6
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