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Authors: J. G. Enríquez 1 ; Vivian Lee 2 ; Masatomo Goto 2 ; F. J. Domínguez-Mayo 1 and M. J. Escalona 1

Affiliations: 1 University of Seville, Spain ; 2 Fujitsu Laboratories of Europe, United Kingdom

ISBN: 978-989-758-096-3

Keyword(s): Software Engineering, Big Data, Open Data, Entity Identification, Intelligent Reconciliation, Virtual Graphs.

Related Ontology Subjects/Areas/Topics: Coupling and Integrating Heterogeneous Data Sources ; Databases and Information Systems Integration ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Organisational Issues on Systems Integration ; Software Engineering

Abstract: Big and Open Data provide great opportunities to businesses to enhance their competitive advantages if utilized properly. However, during past few years’ research in Big and Open Data process, we have encountered big challenge in entity identification reconciliation, when trying to establish accurate relationships between entities from different data sources. In this paper, we present our innovative Intelligent Reconciliation Platform and Virtual Graphs solution that addresses this issue. With this solution, we are able to efficiently extract Big and Open Data from heterogeneous source, and integrate them into a common analysable format. Further enhanced with the Virtual Graphs technology, entity identification reconciliation is processed dynamically to produce more accurate result at system runtime. Moreover, we believe that our technology can be applied to a wide diversity of entity identification problems in several domains, e.g., e- Health, cultural heritage, and company identitie s in financial world. (More)

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Paper citation in several formats:
G. Enríquez J., Lee V., Goto M., J. Domínguez-Mayo F. and J. Escalona M. (2015). Entity Identification Problem in Big and Open Data.In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-096-3, pages 404-408. DOI: 10.5220/0005470704040408

@conference{iceis15,
author={J. {G. Enríquez} and Vivian Lee and Masatomo Goto and F. {J. Domínguez{-}Mayo} and M. {J. Escalona}},
title={Entity Identification Problem in Big and Open Data},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2015},
pages={404-408},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005470704040408},
isbn={978-989-758-096-3},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Entity Identification Problem in Big and Open Data
SN - 978-989-758-096-3
AU - G. Enríquez J.
AU - Lee V.
AU - Goto M.
AU - J. Domínguez-Mayo F.
AU - J. Escalona M.
PY - 2015
SP - 404
EP - 408
DO - 10.5220/0005470704040408

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