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 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.
%0 Conference Paper
%1 Moeller2010c
%A Möller, Manuel
%A Ernst, Patrick
%A Sintek, Michael
%A Biedert, Ralf
%A Dengel, Andreas
%A Sonntag, Daniel
%B Proc. of the International Conference on Knowledge Engineering and Ontology Development (KEOD)
%C Valencia, Spain
%D 2010
%K medico
%T Representing the International Classification of Diseases Version
10 in OWL
%X 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 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.
@inproceedings{Moeller2010c,
abstract = {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 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.},
added-at = {2010-07-15T10:17:39.000+0200},
address = {Valencia, Spain},
author = {Möller, Manuel and Ernst, Patrick and Sintek, Michael and Biedert, Ralf and Dengel, Andreas and Sonntag, Daniel},
biburl = {https://www.bibsonomy.org/bibtex/29017615cf99f59b381bf80d0b6c7d818/manuelm},
booktitle = {Proc. of the International Conference on Knowledge Engineering and Ontology Development ({KEOD})},
interhash = {ad1319f613024b12a2b538ec68101898},
intrahash = {9017615cf99f59b381bf80d0b6c7d818},
keywords = {medico},
month = {25-28 October},
owner = {moeller},
timestamp = {2010-07-15T10:17:39.000+0200},
title = {Representing the International Classification of Diseases Version
10 in {OWL}},
year = 2010
}