Knowledge Representation furthers research on formalisms and tools for semantically precise and computable knowledge representation in relation to biomedicine.
Informaticians working in this area—Biomedical Knowledge Representation and Semantics—are interested in knowledge representation techniques (e.g., frames, semantic network and description logics), biomedical ontologies (e.g., SNOMED CT and Gene Ontology), semantic web representations (e.g., RDF, SKOS and OWL), and technologies. They explore the role of knowledge representation in knowledge management, data integration and interoperability, biomedical reasoning (inferencing) and decision support, and study current trends and future directions of this exciting field.
Community Email: KRS@connect.amia.org
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