In this chapter the authors describe the three pillars of ontology
treatment in the medical domain in a comprehensive case study within
the large-scale THESEUS MEDICO project. MEDICO addresses the need
for advanced semantic technologies in medical image and patient data
search. The objective is to enable a seamless integration of medical
images and different user applications by providing direct access
to image semantics. Semantic image retrieval should provide the basis
for the help in clinical decision support and computer aided diagnosis.
During the course of lymphoma diagnosis and continual treatment,
image data is produced several times using different image modalities.
After semantic annotation, the images need to be integrated with
medical (textual) data repositories and ontologies. They build upon
the three pillars of knowledge engineering, ontology mediation and
alignment, and ontology population and learning to achieve the objectives
of the MEDICO project.
%0 Journal Article
%1 pillars09
%A Sonntag, Daniel
%A Wennerberg, Pinar
%A Buitelaar, Paul
%A Zillner, Sonja
%D 2009
%J Journal of Cases on Information Technology (JCIT)
%K QABook imported myPubs
%N 4
%P 47-73
%T Pillars of Ontology Treatment in the Medical Domain
%V 11
%X In this chapter the authors describe the three pillars of ontology
treatment in the medical domain in a comprehensive case study within
the large-scale THESEUS MEDICO project. MEDICO addresses the need
for advanced semantic technologies in medical image and patient data
search. The objective is to enable a seamless integration of medical
images and different user applications by providing direct access
to image semantics. Semantic image retrieval should provide the basis
for the help in clinical decision support and computer aided diagnosis.
During the course of lymphoma diagnosis and continual treatment,
image data is produced several times using different image modalities.
After semantic annotation, the images need to be integrated with
medical (textual) data repositories and ontologies. They build upon
the three pillars of knowledge engineering, ontology mediation and
alignment, and ontology population and learning to achieve the objectives
of the MEDICO project.
@article{pillars09,
abstract = {In this chapter the authors describe the three pillars of ontology
treatment in the medical domain in a comprehensive case study within
the large-scale THESEUS MEDICO project. MEDICO addresses the need
for advanced semantic technologies in medical image and patient data
search. The objective is to enable a seamless integration of medical
images and different user applications by providing direct access
to image semantics. Semantic image retrieval should provide the basis
for the help in clinical decision support and computer aided diagnosis.
During the course of lymphoma diagnosis and continual treatment,
image data is produced several times using different image modalities.
After semantic annotation, the images need to be integrated with
medical (textual) data repositories and ontologies. They build upon
the three pillars of knowledge engineering, ontology mediation and
alignment, and ontology population and learning to achieve the objectives
of the MEDICO project.},
added-at = {2009-11-25T20:46:04.000+0100},
author = {Sonntag, Daniel and Wennerberg, Pinar and Buitelaar, Paul and Zillner, Sonja},
biburl = {https://www.bibsonomy.org/bibtex/2af4bb32d16e67d005bf680f6f452db90/sonntag},
interhash = {e8c6d4a7d0ed6922a049320ff4a57e7b},
intrahash = {af4bb32d16e67d005bf680f6f452db90},
journal = {Journal of Cases on Information Technology (JCIT)},
keywords = {QABook imported myPubs},
number = 4,
owner = {sonntag},
pages = {47-73},
timestamp = {2009-12-21T17:43:06.000+0100},
title = {Pillars of Ontology Treatment in the Medical Domain},
volume = 11,
year = 2009
}