An End-to-End Framework for Integrating and Publishing Linked Open Government Data
Rabeb Abida, Emna Hachicha Belghith, Anthony Cleve · 2020
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.