Abstract
The use of the internet has augmented implicitly most popular platforms for exchanging information and providing people with a wide range of services. The semantic web and linked data aim to take the web of data to the next level of intelligence, where humans and machines understand data. E-government represents the information and communication technologies in the public sector that is more open, encourages participation of community members, and serves as an effective administrative framework. The domain knowledge that semantic web service brings to e-government is immense. This research provides a case study to develop linked data with the emphasis on data governance in the United Kingdom data portal for central government particularly, semantic web service. This framework explain how the semantic web services and e-government are related to linked data. Additionally, the research presents an e-government concrete ontology. During implementation, we explored instances of linked datasets of the UK e-government central domain ontologies, and e-government semantic web services via linked data, to construct a high-quality integrated ontology that is easily understandable and effective in acquiring knowledge from various data sets using simple SPARQL queries.
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Idoko, J.B., Ahmed, B.A. (2023). Implementation of Semantic Web Service and Integration of e-Government Based Linked Data. In: Idoko, J.B., Abiyev, R. (eds) Machine Learning and the Internet of Things in Education. Studies in Computational Intelligence, vol 1115. Springer, Cham. https://doi.org/10.1007/978-3-031-42924-8_13
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