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SiSEG-Auto Semantic Annotation Service to Integrate Smart Energy Data
2022
Energies
In a modern smart energy system, the amount of available data from various sources is growing significantly. Other sectors such as medical or social sectors exhibit the same phenomenon. Due to the amount, complexity and heterogeneity of data, a complex algorithm is required for the integration and analysis of heterogeneous data sources. The Web of Things and semantic-based approaches address the fragmentation of standards, platforms, services and technologies in smart energy and non-energy
doi:10.3390/en15041428
fatcat:jlybuyhn7vae3efccqw4xr3lhu