HYBRID METHODS OF KNOWLEDGE ELICITATION WITHIN A UNIFIED REPRESENTATIONAL KNOWLEDGE SCHEME

Sergei Nirenburg, Marjorie McShane, Stephen Beale, Roberta Catizone

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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