Paper Info
Title
Representing the International Classification of Diseases Version 10 in OWL.
Abstract
Current efforts in the biomedical ontology community focus on establishing interoperability and data integration. In covering human diseases, one of the major international standaids in clinical practice is the International Classification for Diseases (ICD), maintained by the World Health Organization (WHO). Several country- and 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.
Year
Venue
Keywords
2010
KEOD 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND ONTOLOGY DEVELOPMENT
Formal knowledge representation,Automatic ontology generation,Medical ontologies,International classification of diseases
Field
DocType
Citations 
Data integration,Data science,Data mining,Ontology,Information retrieval,Computer science,Interoperability,Clinical Practice,Hierarchy,German,Expressivity,Ontology language
Conference
8
PageRank 
References 
Authors
0.67
7
6
Name
Order
Citations
PageRank
Manuel Moller1698.77
Michael Sintek22305212.92
Ralf Biedert318114.02
Patrick Ernst4706.51
Andreas Dengel51926280.42
Daniel Sonntag629256.22