TY  - JOUR
T1  - Using Semantic Web Technologies in Heterogeneous Distributed Database System: A Case Study for Managing Energy Data on Mobile Devices
A1  - Liu, Zhan
A1  - Le Calvé, Anne
A1  - Cretton, Fabian
A1  - Glassey Balet, Nicole
JA  - International Journal of New Computer Architectures and their Applications (IJNCAA)
Y1  - 2014
VL  - 4
IS  - 2
SP  - 56
EP  - 69
SN  - 2220-9085
UR  - http://sdiwc.net/digital-library/using-semantic-web-technologies-in-heterogeneous-distributed-database-system---a-case-study-for-managing-energy-data-on-mobile-devices.html
M2  - doi: http://dx.doi.org/10.17781/p006
KW  - database integration
KW  - energy management
KW  - Heterogeneous distributed database system
KW  - mobile application
KW  - RDF Wrapper
KW  - semantic web
KW  - SPARQL
N2  - Managing energy data from multiple distributed and heterogeneous sources is an important issue worldwide. This study focused on using semantic web technologies in an energy data management system. Specifically, we provided a federated approach - a mediator server - that allows users to access to multiple heterogeneous data sources, including four typical types of databases in energy data resources: relational database, Triplestore, NoSQL database, and XML. A proposed architecture based on this approach is then presented and our solution can realize the data acquisition and integration without the need to rewrite or transform the local data into a unified data. We further examined our architecture by a case study in a Swiss energy company and tested the system based on a mobile platform.
ER  -