TY  - CONF
T1  - MUSYOP: Towards a Query Optimization for Heterogeneous Distributed Database System in Energy Data Management
A1  - Liu, Zhan
A1  - Cretton, Fabian
A1  - Le Calvé, Anne
A1  - Glassey Balet, Nicole
A1  - Cotting, Alexandre
A1  - Chapuis, Fabrice
TI  - Proceedings of the International Conference on Computing Technology and Information Management (ICCTIM2014)
Y1  - 2014
SP  - 1
EP  - 9
PB  - The Society of Digital Information and Wireless Communications
CY  - Dubai
SN  - 978-0-9891305-5-4
M2  - doi: 10.13140/RG.2.1.2455.2405
KW  - database integration
KW  - federation
KW  - Heterogeneous distributed database system
KW  - mediator
KW  - query optimization
KW  - semantic web
N2  - The integration of data from multiple distributed and heterogeneous sources has long been an important issue in information system research. In this study, we considered the query access and its optimization in such an integration scenario in the context of energy management by using SPARQL. Specifically, we provided a federated approach - a mediator server - that allows users to query access to multiple heterogeneous data sources, including four typical types of databases in energy data resources: relational database Triplestore, NoSQL database, and XML. A MUSYOP architecture based on this approach is then presented and our solution can realize the process data acquisition and integration without the need to rewrite or transform the local data into a unified data.
ER  -