REPRESENTING THE INTERNATIONAL CLASSIFICATION OF DISEASES VERSION 10 IN OWL
Author(s) -
Manuel Möller,
Michael Sintek,
Ralf Biedert,
Patrick Erñst,
Andreas Dengel,
Daniel Sonntag
Publication year - 2010
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0003082400500059
Subject(s) - computer science , web ontology language , artificial intelligence , natural language processing , semantic web
Current efforts in the biomedical ontology community focus on establishing interoperability and data integration. In covering human diseases, one of the major international standards in clinical practice is the International Classification for Diseases (ICD), maintained by the World Health Organization (WHO). Several countryand language-specific adaptations exist which share the general structure of the WHO version but differ in certain details. This complicates the exchange of patient records and hampers data integration across language borders. We present our approach for modeling the hierarchy of the ICD-10 using the Web Ontology Language (OWL). Our model captures the hierarchical information of the ICD-10 as well as comprehensive class labels for English and German. Specialties such as “Exclusion” statements, which make statements about the disjointness of certain ICD-10 categories, are modeled in a formal way. For properties which exceed the expressivity of OWL-DL, we provide a separate OWL-Full component which allows us to use the hierarchical knowledge and class labels with existing OWL-DL reasoners and capture the additional information in a machine-interpretable way.
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