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Author: Dennis McLeod

Affiliation: University of Southern California, United States

Keyword(s): Data mining, Ontology, Semantics, Similarity decision

Related Ontology Subjects/Areas/Topics: CASE Tools for System Development ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Methodologies, Processes and Platforms ; Model-Driven Software Development ; Modeling Concepts and Information Integration Tools ; Modeling Formalisms, Languages and Notations ; Software Engineering ; Systems Engineering

Abstract: Many data representation structures, such as web site categories and domain ontologies, have been established for semantic-based information search and retrieval on the web. These structures consist of concepts and their interrelationships. Approaches to determine the similarity in semantics among concepts in data representation structures have been developed in order to facilitate information retrieval and recommendation processes. Some approaches are only suitable for similarity computations in pure tree structures. Other approaches designed for the Directed Acyclic Graph structures yield high computational complexity for online similarity decisions. In order to provide efficient similarity computations for data representation structures, we propose a geometry-based solution. Similarity computations are based on geometric properties. The similarity model is based on the proposed geometry-based solution, and the online similarity computation is performed in a constant time.

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Paper citation in several formats:
McLeod, D. (2005). SEMANTICS-BASED SIMILARITY DECISIONS FOR ONTOLOGIES. In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 972-8865-19-8; ISSN 2184-4992, SciTePress, pages 288-293. DOI: 10.5220/0002554402880293

@conference{iceis05,
author={Dennis McLeod.},
title={SEMANTICS-BASED SIMILARITY DECISIONS FOR ONTOLOGIES},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2005},
pages={288-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002554402880293},
isbn={972-8865-19-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - SEMANTICS-BASED SIMILARITY DECISIONS FOR ONTOLOGIES
SN - 972-8865-19-8
IS - 2184-4992
AU - McLeod, D.
PY - 2005
SP - 288
EP - 293
DO - 10.5220/0002554402880293
PB - SciTePress

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