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Authors: Mye M. Sohn and Yungyu Choi

Affiliation: Department of Systems Management Engineering, Sungkyunkwan University, Korea, Republic of

ISBN: 978-989-8111-66-1

Keyword(s): Rule extraction, Controlled language set, Ontology, Rule Markup Language, XRML.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Ontologies ; Formal Methods ; Knowledge Representation and Reasoning ; Ontologies ; Simulation and Modeling ; Symbolic Systems

Abstract: This paper presents a framework for rule extraction from unstructured web documents. To do so, we adopted the controlled language technique to reduce the burden as well as error of a domain expert and suggest a rule extraction framework that uses ontology, to solve the problem of missing variable and value that may be caused by incomplete natural language. Here, it is referred to as NEXUCE (New rule EXtraction Using ontology and Controlled natural languagE). To evaluate the performance of the NEXUCE framework, the natural language statements were collected from the websites of Internet bookstores and the rule extraction capability was analyzed. As a result, it was proven that NEXUCE can have more than 70% of rule extraction from unstructured web documents.

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Paper citation in several formats:
Sohn M.; Choi Y. and (2009). SEMI-AUTONOMOUS RULE ACQUISITION FRAMEWORK USING CONTROLLED LANGUAGE AND ONTOLOGY.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8111-66-1, pages 238-245. DOI: 10.5220/0001658702380245

@conference{icaart09,
author={Mye M. Sohn and Yungyu Choi},
title={SEMI-AUTONOMOUS RULE ACQUISITION FRAMEWORK USING CONTROLLED LANGUAGE AND ONTOLOGY},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2009},
pages={238-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001658702380245},
isbn={978-989-8111-66-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - SEMI-AUTONOMOUS RULE ACQUISITION FRAMEWORK USING CONTROLLED LANGUAGE AND ONTOLOGY
SN - 978-989-8111-66-1
AU - Sohn, M.
AU - Choi, Y.
PY - 2009
SP - 238
EP - 245
DO - 10.5220/0001658702380245

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