USING SEMANTIC WEB TECHNOLOGIES IN HETEROGENEOUS DISTRIBUTED DATABASE SYSTEM: A CASE STUDY FOR MANAGING ENERGY DATA ON MOBILE DEVICES

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