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Authors: Yoones A. Sekhavat and Jeffrey Parsons

Affiliation: Memorial University of Newfoundland, Canada

ISBN: 978-989-8565-67-9

Keyword(s): Data Exchange, Inherent Classification, Ambiguity Resolution, Ontology.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Information Integration ; Integration/Interoperability ; Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: Data Exchange creates an instance of a target schema from an instance of a source such that source data is reflected in the target instance. The prevailing approach for data exchange is based on generating and using schema mapping expressions representing high level relations between source and target. We show such class level schema mappings cannot resolve some ambiguous cases. We propose an Entity Preserving Data Exchange (EDEX) method that reflects source entities in the target independent of classification of entities. We show EDEX can reconcile such ambiguities while generates a core solution as an efficient solution.

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Paper citation in several formats:
Sekhavat , Y. and Parsons, J. (2013). EDEX: Entity Preserving Data Exchange.In Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-67-9, pages 221-229. DOI: 10.5220/0004433902210229

@conference{data13,
author={Yoones A. Sekhavat . and Jeffrey Parsons.},
title={EDEX: Entity Preserving Data Exchange},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,},
year={2013},
pages={221-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004433902210229},
isbn={978-989-8565-67-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - EDEX: Entity Preserving Data Exchange
SN - 978-989-8565-67-9
AU - Sekhavat , Y.
AU - Parsons, J.
PY - 2013
SP - 221
EP - 229
DO - 10.5220/0004433902210229

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