Designing a Linked Data Migrational Framework for Singapore Government Datasets

TL;DR

This paper presents an eight-step framework for migrating Singapore Government datasets from legacy systems to Linked Data, facilitating better data interlinking and public service utilization.

Contribution

It introduces a detailed, practical migrational framework tailored for government data transition to Linked Data, based on Singapore's data ecosystem and existing literature.

Findings

Framework aids government data migration efforts

Framework components include objectives, recommendations, and best practices

Potential for improved data interlinking and public service access

Abstract

The subject area of this report is Linked Data and its application to the Government domain. Linked Data is an alternative method of data representation that aims to interlink data from varied sources through relationships. Governments around the world have started publishing their data in this format to assist citizens in making better use of public services. This report provides an eight step migrational framework for converting Singapore Government data from legacy systems to Linked Data format. The framework formulation is based on a study of the Singapore data ecosystem with help from Infocomm Development Authority (iDA) of Singapore. Each step in the migrational framework has been constructed with objectives, recommendations, best practices and issues with entry and exit points. This work builds on the existing Linked Data literature, implementations in other countries and cookbooks provided by Linked Data researchers. iDA can use this report to gain an understanding of the effort and work involved in the implementation of Linked Data system on top of their legacy systems. The framework can be evaluated by building a Proof of Concept (POC) application.