Proceedings of the 1st international conference on Knowledge capture
Aspects of the taxonomic relation in the biomedical domain
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Efficient transitive closure reasoning in a combined class/part/containment hierarchy
Knowledge and Information Systems
Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
The description logic handbook
Proceedings of the 2nd international conference on Knowledge capture
Granularity, scale and collectivity: when size does and does not matter
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
Resource Discovery in a European Spatial Data Infrastructure
IEEE Transactions on Knowledge and Data Engineering
In situ migration of handcrafted ontologies to reason-able forms
Data & Knowledge Engineering
Description logic-based methods for auditing frame-based medical terminological systems
Artificial Intelligence in Medicine
International Journal of Applied Mathematics and Computer Science - Semantic Knowledge Engineering
DW4TR: A Data Warehouse for Translational Research
Journal of Biomedical Informatics
AIM: a personal view of where I have been and where we might be going
Artificial Intelligence in Medicine
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A common language, or terminology, for representing what clinicians have said and done is an important requirement for individual clinical systems, and it is a prerequisite for integrating disparate applications in a distributed telematic healthcare environment. Formal representations based on description logics or closely related formalisms are increasingly used for representing medical terminologies, GALEN's experience in using one such formalism raises two major issues, as follows: how to make ontologies based on description logics easy to use and understand for both clinicians and applications developers; what features are required of the ontology and description logic if they are to achieve their aims, based on our experience we put forward four contentions: two relating to each of these two issues, as follows: that natural language generation is essential to make a description logic based ontology accessible to users; that the description logic based ontology should be treated as an "assembly language" and accessed via "intermediate representations" oriented to users and "perspectives" adapting it to specific applications; that independence and reuse are best supported by partitioning the subsumption hierarchy of elementary concepts into orthogonal taxonomies, each of which forms a pure tree in which the branches at each level are disjoint but nonexhaustive subconcepts of the parent concept; that the expressivity of the description logic must include support for transitive relations despite the computational cost.