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SiSEG-Auto Semantic Annotation Service to Integrate Smart Energy Data
| Content Provider | MDPI |
|---|---|
| Author | Haghgoo, Maliheh Mazary, Amirhossein Nazary Aghche Monti, Antonello |
| Copyright Year | 2022 |
| Description | 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 sectors, and enable heterogeneous data integration and interoperability. This paper presents SiSEG, a semantic annotation service that is developed to automate the process of annotating data and address the problem of heterogeneous data integration in a reusable and extensible way by using the fuzzy method. Moreover, the accuracy of SiGEG has been evaluated. |
| Starting Page | 1428 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en15041428 |
| Journal | Energies |
| Issue Number | 4 |
| Volume Number | 15 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-02-15 |
| Access Restriction | Open |
| Subject Keyword | Energies Industrial Engineering Information and Library Science Semantic Annotation Smart Energy Data Integration Web of Things Heterogeneous Data-set Semantic Web |
| Content Type | Text |
| Resource Type | Article |
