loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Daniel Sonntag and Manuel Möller

Affiliation: German Research Center for Artificial Intelligence, Germany

Keyword(s): Medical Imaging Systems, Semantic Data Model, User/Machine Dialogue, Semantic Search and Retrieval.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Intelligent Information Systems ; KM Strategies and Implementations ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Metadata and Structured Documents ; Symbolic Systems ; Tools and Technology for Knowledge Management

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.200.230.43

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (IC3K 2009) - KMIS; ISBN 978-989-674-013-9; ISSN 2184-3228, SciTePress, pages 89-94. DOI: 10.5220/0002273400890094

@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 (IC3K 2009) - KMIS},
year={2009},
pages={89-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002273400890094},
isbn={978-989-674-013-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Management and Information Sharing (IC3K 2009) - KMIS
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
IS - 2184-3228
AU - Sonntag, D.
AU - Möller, M.
PY - 2009
SP - 89
EP - 94
DO - 10.5220/0002273400890094
PB - SciTePress