Abstract
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.
Highlights
The evolution in the smart energy system brings several challenges such as changes in energy demand, grid infrastructure, penetration of renewable energy sources, electric vehicles, and energy storage
We present SiSEG as an ontology-based semantic annotation service to automatically add metadata to the raw data
The output of the SPARQL query is a result set containing URIs or Resource Description Framework (RDF) nodes that might be relevant to the keywords which were extracted in the previous step
Summary
The evolution in the smart energy system brings several challenges such as changes in energy demand, grid infrastructure, penetration of renewable energy sources, electric vehicles, and energy storage. From an Information and Communication Technology (ICT) perspective, the integration of the existing infrastructure in the smart energy domain requires efficient and cost-effective solutions To ensure such systems are technically successful and widely adopted, ICT systems of different vendors and industrial companies must be able to integrate [1]. To address the problem of heterogeneity of data sources, their integration and interoperability, an automated semantic annotation service called SiSEG is proposed. It can be plugged into any architecture and domain to provide interoperability and heterogeneous data integration between systems in an automated way using established communication and data standards.
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