loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yoones A. Sekhavat and Jeffrey Parsons

Affiliation: Memorial University of Newfoundland, Canada

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.63.136

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - DATA; ISBN 978-989-8565-67-9; ISSN 2184-285X, SciTePress, 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 - DATA},
year={2013},
pages={221-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004433902210229},
isbn={978-989-8565-67-9},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - DATA
TI - EDEX: Entity Preserving Data Exchange
SN - 978-989-8565-67-9
IS - 2184-285X
AU - Sekhavat, Y.
AU - Parsons, J.
PY - 2013
SP - 221
EP - 229
DO - 10.5220/0004433902210229
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic