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Author: Vít Novácěk

Affiliation: DERI, National University of Ireland, Ireland

ISBN: 978-972-8865-89-4

Keyword(s): Ontology engineering, ontology learning, taxonomy acquisiton, uncertainty.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Cloud Computing ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Semantic Web Technologies ; Sensor Networks ; Services Science ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Software Agents and Internet Computing ; Verification and Validation of Knowledge-Based Systems ; Web Information Systems and Technologies

Abstract: The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents new results of our research on uncertainty incorporation into ontologies created automatically by means of Human Language Technologies. The research is related to OLE (Ontology LEarning) – a project aimed at bottom-up generation and merging of ontologies. It utilises a proposal of expressive fuzzy knowledge representation framework called ANUIC (Adaptive Net of Universally Interrelated Concepts). We discuss our recent achievements in taxonomy acquisition and show how even simple application of the principles of ANUIC can improve the results of initial knowledge extraction methods.

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Paper citation in several formats:
Novácěk V. and (2007). IMPRECISE EMPIRICAL ONTOLOGY REFINEMENT - Application to Taxonomy Acquisition.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-89-4, pages 31-38. DOI: 10.5220/0002391800310038

@conference{iceis07,
author={Vít Novácěk},
title={IMPRECISE EMPIRICAL ONTOLOGY REFINEMENT - Application to Taxonomy Acquisition},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2007},
pages={31-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002391800310038},
isbn={978-972-8865-89-4},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - IMPRECISE EMPIRICAL ONTOLOGY REFINEMENT - Application to Taxonomy Acquisition
SN - 978-972-8865-89-4
AU - Novácěk, V.
PY - 2007
SP - 31
EP - 38
DO - 10.5220/0002391800310038

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