A philosophical basis for knowledge acquisition
Knowledge Acquisition
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Clinical data analysis using ontology-guided rule learning
Proceedings of the 2nd international workshop on Managing interoperability and compleXity in health systems
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An ontology can be seen as an specification of a domain knowledge conceptualisation. Nowadays, ontological engineering is a widespread manner to achieve knowledge reuse and sharing that has been applied to clinical domains. Ripple Down Rules is a user-centred approach that allows users to perform knowledge acquisition as well as system maintenance. In this work, we show an approach through which users can specify conceptualisations and perform knowledge acquisition and system maintenance. The approach has been applied in oncology.