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MUSYOP: Towards a Query Optimization for Heterogeneous Distributed Database System in Energy Data Management
Type of publication: Inproceedings
Citation:
Booktitle: Proceedings of the International Conference on Computing Technology and Information Management (ICCTIM2014)
Year: 2014
Month: April
Pages: 1-9
Publisher: The Society of Digital Information and Wireless Communications
Location: Dubai
ISBN: 978-0-9891305-5-4
DOI: 10.13140/RG.2.1.2455.2405
Abstract: 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.
Keywords: database integration, federation, Heterogeneous distributed database system, mediator, query optimization, semantic web
Authors Liu, Zhan
Cretton, Fabian
Le Calvé, Anne
Glassey Balet, Nicole
Cotting, Alexandre
Chapuis, Fabrice
Added by: []
Total mark: 0
Attachments
  • Liu et al. [ICCTIM2014].pdf
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