Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration

Wojciech Cholewa, Marcin Amarowicz, Pawel Chrzanowski, Tomasz Rogala

2013

Abstract

This paper addresses selected aspects of diagnostic knowledge management. Not only does it introduce the process of modeling with the use of multimodal statement networks, but it also presents methods of model development, nature of its individual layers and elaborates on the construction process of diagnostic knowledge base along with its verification. The main purpose of the presented method is to aid in design of diagnostic systems for complex objects requiring inference process that takes places under condition of uncertainty with partially contradictory knowledge being observable. Chosen elements were implemented in free REx software developed in R language.

Paper Citation

in Harvard Style

Cholewa W., Amarowicz M., Chrzanowski P. and Rogala T. (2013). Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 140-147. DOI: 10.5220/0004519501400147

in Bibtex Style

@conference{keod13,
author={Wojciech Cholewa and Marcin Amarowicz and Pawel Chrzanowski and Tomasz Rogala},
title={Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={140-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004519501400147},
isbn={978-989-8565-81-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration
SN - 978-989-8565-81-5
AU - Cholewa W.
AU - Amarowicz M.
AU - Chrzanowski P.
AU - Rogala T.
PY - 2013
SP - 140
EP - 147
DO - 10.5220/0004519501400147