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
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 identiti
es in financial world.
(More)