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Authors: Sergei Nirenburg 1 ; Marjorie McShane 1 ; Stephen Beale 1 and Roberta Catizone 2

Affiliations: 1 University of Maryland Baltimore County, United States ; 2 Onyx Consulting, United Kingdom

ISBN: 978-989-8425-29-4

Keyword(s): Knowledge engineering, Knowledge elicitation, Ontology, Intelligent agents, Automatic reasoning, Influence diagrams.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Expert Systems ; Health Information Systems ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems

Abstract: This paper presents a case study showing how hybrid methods of knowledge elicitation can be used to build models in support of the functioning of intelligent agents. What facilitates both the elicitation of knowledge and its conversion into actionable models is the use of a unified representational knowledge scheme – spe-cifically, an unambiguous, ontologically grounded metalanguage that serves as the language of all recorded knowledge as well as the language in which agents remember and reason.

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Paper citation in several formats:
Nirenburg, S.; McShane, M.; Beale, S. and Catizone, R. (2010). HYBRID METHODS OF KNOWLEDGE ELICITATION WITHIN A UNIFIED REPRESENTATIONAL KNOWLEDGE SCHEME.In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 177-182. DOI: 10.5220/0003069601770182

@conference{keod10,
author={Sergei Nirenburg. and Marjorie McShane. and Stephen Beale. and Roberta Catizone.},
title={HYBRID METHODS OF KNOWLEDGE ELICITATION WITHIN A UNIFIED REPRESENTATIONAL KNOWLEDGE SCHEME},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={177-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003069601770182},
isbn={978-989-8425-29-4},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - HYBRID METHODS OF KNOWLEDGE ELICITATION WITHIN A UNIFIED REPRESENTATIONAL KNOWLEDGE SCHEME
SN - 978-989-8425-29-4
AU - Nirenburg, S.
AU - McShane, M.
AU - Beale, S.
AU - Catizone, R.
PY - 2010
SP - 177
EP - 182
DO - 10.5220/0003069601770182

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