Managing Ontological Complexity: A Case Study
Ontologies represent a widely accepted method for modelling structured knowledge spaces. Ontologies are particularly useful in modelling corporate or collective knowledge spaces. As such, they provide a vehicle for codifying the collected experience, best practices or common agreement of communities. Nonetheless, in practice, such knowledge must be tailored by practitioners to meet the challenges at hand. While tools for the construction of ontologies abound, we have found that many users are still reliant on human judgement instead of computational support when ontological knowledge must be tailored, personalized, customized and/or applied. In this paper, we examine some of the circumstances surrounding this state of affairs, and contemplate possible roles for computational support in these undertakings. We do this through based on our experiences with the Multilingual Dictionary of Lexicographical Terms (MDLT), a prototype of a linguistic database.
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