Abstrakt
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 knowledge as ontologies and make output data available in RDF.
We hope this is a right direction for medical information publication and enrichment with other data e.g., from Linked Open Data cloud