Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Building a Chemical Ontology Using Methontology and the Ontology Design Environment
IEEE Intelligent Systems
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
Semantic Visualization of Patient Information
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
RadSem: Semantic Annotation and Retrieval for Medical Images
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
KEMM: A Knowledge Engineering Methodology in the Medical Domain
Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008)
Statistical term profiling for query pattern mining
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
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Medical imaging plays an important role in today's clinical daily tasks, such as patient screening, diagnosis, treatment planning and follow up. But still a generic and flexible image understanding is missing. Although, there exist several approaches for semantic image annotation, those approaches do not make use of practical clinical knowledge, such as best practice solutions or clinical guidelines. We introduce a knowledge engineering approach aiming for reasoning-based enhancement of medical images annotation by integrating practical clinical knowledge. We will exemplify the reasoning steps of the methodology along a use case for automatic lymphoma patient staging.