A Conceptual Framework for Linking Open Government Data Based-On Geolocation: A Case of Thailand

Budsapawanich, Punnawit; Anutariya, Chutiporn; Haruechaiyasak, Choochart

doi:10.1007/978-3-030-04284-4_24

Cited by 2 publications

(2 citation statements)

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“…Open Government Data (OGD) has spread all over the world among many web platforms. OGD is defined as data generated by the publicly available government and can be freely shared, modified, and used for any purpose [1]. OGDs have many benefits, such as improving transparency and accountability, improving public services' quality and efficiency, promoting citizen participation, and increasing economic opportunities.…”

Section: Introductionmentioning

confidence: 99%

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Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey

Bouchelouche

Ghomari

Zemmouchi-Ghomari

2021

IJCIT

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Open Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges.

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Section: Introductionmentioning

confidence: 99%

“…This would help the government and nurture the public participation culture in Indonesia for the open data movement. Budsapawanich et al approach[1]: It represents a conceptual framework to map and link OGD datasets using geospatial data. The framework generates geospatially-linked OGD from structured and semistructured datasets.…”

mentioning

confidence: 99%