An End-to-End Framework for Integrating and Publishing Linked Open Government Data

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Linked Government Statistical Data on the Web are significantly increasing in terms of variety, which makes challenging to determine the quality of this data that explicitly become accessible to data consumers. Converting and publishing such data involves several challenges, e.g., data unifying, design decisions, knowledge extraction. In this paper, we aim to address this issue by proposing an end-to-end framework, based on linked open data technologies. This framework assists the user to produce and publish structured Linked Data in an e-Government context. Our aim is to enable data consumers to access to an end-to-end solution, allowing them to produce and publish high-quality data on the web, that meet their needs. To assess our framework, we use a real case study, relying on a local government catalogue.
Original languageEnglish
Title of host publicationProceedings of the 29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2020)
PublisherIEEE Computer Society Press
Number of pages6
Publication statusPublished - 2020


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