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Extracting Medical Information Using Linked Data
2012
Workshop on Semantic Web Applications and Tools for Life Sciences
Medical documentation is usually represented as a free text. That makes it almost unusable for all other analytical purposes. It would be a great advantage to have at least some information structured in a machine readable form. In this contribution we introduce a system which performs information extraction from partially structured texts such as discharge summaries. It is a rule-based system using ontologies even for rule formulation. We take advantage of Linked Data principles, represent all
dblp:conf/swat4ls/KozakNP12
fatcat:khd4pipzyjapbe3eaiiukbgvvy