DocumentCode
173013
Title
On-Demand Data Integration on the Cloud
Author
Ghafour, Samer Abdul ; Barhamgi, Mahmoud ; Ghodous, Parisa
Author_Institution
Claude Bernard Univ. Lyon 1, Villeurbanne, France
fYear
2014
fDate
June 27 2014-July 2 2014
Firstpage
924
Lastpage
927
Abstract
On-demand data integration is among the key challenges in Cloud Computing. In this paper, we present an ontology-based framework for describing and integrating data on the fly to answer transient business needs. We provide a semantic modeling for cloud´s data services. The proposed modeling makes it possible to automatically resolve the different types of data heterogeneity that would arise when data from heterogeneous and autonomous providers need to be combined together to answer the business´s data needs.
Keywords
business data processing; cloud computing; data integration; ontologies (artificial intelligence); business data needs; cloud computing; cloud data services; data heterogeneity; on-demand data integration; ontology-based framework; semantic modeling; transient business needs; Business; Data integration; Mashups; Ontologies; Resource description framework; Semantics; On-demand data integration; Ontologies; Services;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
978-1-4799-5062-1
Type
conf
DOI
10.1109/CLOUD.2014.127
Filename
6973833
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