Enabling technology for knowledge sharing
AI Magazine
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Diagnosis Systems in Medicine with Reusable Knowledge Components
IEEE Intelligent Systems
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Experiences in reusing knowledge sources using Protégé and PROMPT
International Journal of Human-Computer Studies - Protégé: community is everything
Towards a Semi-automatic Situation Diagnosis System in Surveillance Tasks
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
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We study the general question of how knowledge bases can be designed in small domains and scale, importing reference terminologies and taking into account the methodologies and tools available nowadays. For this, we have carried out a case study on a knowledge base oriented to support a diagnosis-aid application in ophthalmology. Our study emphasizes the advantages of extending a knowledge base with a new component that holds both a meta-model representing a very simplified structure of a terminology system and a set of constraints expressed using an axiom language. This set of constraints allows us to check the consistency and coherence of the imported information.