UNIFYING SEMANTIC ANNOTATION AND QUERYING IN BIOMEDICAL IMAGE REPOSITORIES - One Solution for Two Problems of Medical Knowledge Engineering

Daniel Sonntag, Manuel Möller

2009

Abstract

In the medical domain, semantic image retrieval should provide the basis for the help in decision support and computer aided diagnosis. But knowledge engineers cannot easily acquire the necessary medical knowledge about the image contents. Based on their semantics, we present a set of techniques for annotating images and querying image data sets. The unification of semantic annotation (using a GUI) and querying (using natural dialogue) in biomedical image repositories is based on a unified view of the knowledge acquisition process. We use a central RDF repository to capture both medical domain knowledge as well as image annotations and understand medical knowledge engineering as an interactive process between the knowledge engineer and the clinician. Our system also supports the interactive process between the dialogue engineer and the clinician.

Paper Citation

in Harvard Style

Sonntag D. and Möller M. (2009). UNIFYING SEMANTIC ANNOTATION AND QUERYING IN BIOMEDICAL IMAGE REPOSITORIES - One Solution for Two Problems of Medical Knowledge Engineering . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2009) ISBN 978-989-674-013-9, pages 89-94. DOI: 10.5220/0002273400890094

in Bibtex Style

@conference{kmis09,
author={Daniel Sonntag and Manuel Möller},
title={UNIFYING SEMANTIC ANNOTATION AND QUERYING IN BIOMEDICAL IMAGE REPOSITORIES - One Solution for Two Problems of Medical Knowledge Engineering},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2009)},
year={2009},
pages={89-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002273400890094},
isbn={978-989-674-013-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2009)
TI - UNIFYING SEMANTIC ANNOTATION AND QUERYING IN BIOMEDICAL IMAGE REPOSITORIES - One Solution for Two Problems of Medical Knowledge Engineering
SN - 978-989-674-013-9
AU - Sonntag D.
AU - Möller M.
PY - 2009
SP - 89
EP - 94
DO - 10.5220/0002273400890094