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Authors: Wojciech Cholewa ; Marcin Amarowicz ; Pawel Chrzanowski and Tomasz Rogala

Affiliation: Silesian University of Technology, Poland

Keyword(s): Multimodal Statement Networks, Diagnostic Reasoning, Knowledge Modeling, Graphical Models, System REx, Consistency Checking.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Data Engineering ; Domain Analysis and Modeling ; e-Business ; Enterprise Information Systems ; Expert Systems ; Health Information Systems ; Information Integration ; Integration/Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Symbolic Systems

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.

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Paper citation in several formats:
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 (IC3K 2013) - KEOD; ISBN 978-989-8565-81-5; ISSN 2184-3228, SciTePress, pages 140-147. DOI: 10.5220/0004519501400147

@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 (IC3K 2013) - KEOD},
year={2013},
pages={140-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004519501400147},
isbn={978-989-8565-81-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD
TI - Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration
SN - 978-989-8565-81-5
IS - 2184-3228
AU - Cholewa, W.
AU - Amarowicz, M.
AU - Chrzanowski, P.
AU - Rogala, T.
PY - 2013
SP - 140
EP - 147
DO - 10.5220/0004519501400147
PB - SciTePress