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Author: Valentin Zacharias

Affiliation: FZI, Germany

ISBN: 978-989-8111-37-1

ISSN: 2184-4992

Keyword(s): Rule based systems, F-logic, knowledge acquisition, rule based modeling, knowledge modeling, verification, anomaly detection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Verification and Validation of Knowledge-Based Systems

Abstract: There is a considerable gap between the potential of rules bases to be a simpler way to formulate high level knowledge and the reality of tiresome and error prone rule bases creation processes. Based on the experience from three rule base creation projects this paper identifies reasons for this gap between promise and reality and proposes steps that can be taken to close it. An architecture for a complete support of rule base development is presented.

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Paper citation in several formats:
Zacharias, V. (2008). RULES AS SIMPLE WAY TO MODEL KNOWLEDGE - Closing the Gap between Promise and Reality.In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS, ISBN 978-989-8111-37-1, pages 87-94. DOI: 10.5220/0001712500870094

@conference{iceis08,
author={Valentin Zacharias},
title={RULES AS SIMPLE WAY TO MODEL KNOWLEDGE - Closing the Gap between Promise and Reality},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS,},
year={2008},
pages={87-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001712500870094},
isbn={978-989-8111-37-1},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS,
TI - RULES AS SIMPLE WAY TO MODEL KNOWLEDGE - Closing the Gap between Promise and Reality
SN - 978-989-8111-37-1
AU - Zacharias, V.
PY - 2008
SP - 87
EP - 94
DO - 10.5220/0001712500870094

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