| Title | SSF: Smart city Semantics Framework for reusability of semantic data |
|---|---|
| ID_Doc | 35940 |
| Authors | Lee, J; Jeong, S; Yoo, SK; Song, J |
| Title | SSF: Smart city Semantics Framework for reusability of semantic data |
| Year | 2021 |
| Published | |
| Abstract | Semantic data has semantic information about the relationship between information and resources of data collected in a smart city so that all different domains and data can be organically connected. Various services using semantic data such as public data integration of smart cities, semantic search, and linked open data are emerging, and services that open and freely use semantic data are also increasing. By using semantic data, it is possible to create a variety of services regardless of platform and resource characteristics. However, despite the many advantages of semantic data, it is not easy to use because it requires a high understanding of semantics such as SPARQL. Therefore, in this paper, we propose a semantic framework for users of semantic data so that new services can be created without a high understanding of semantics. The semantics framework includes a template-based annotator that supports automatically generating semantic data based on user input and a semantic REST API that allows you to utilize semantic data without understanding SPARQL. |
| https://pure.coventry.ac.uk/ws/files/45701214/Binder5.pdf |
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