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

Author:

Budsapawanich Punnawit,Anutariya Chutiporn,Haruechaiyasak Choochart

Publisher

Springer International Publishing

Reference10 articles.

1. Utamachant, P., Anutariya, C.: An analysis of high-value datasets: a case study of Thailand’s open government data. In: Proceedings of 2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE), Nakhonpathom, Thailand, 2018, pp. 1–6. https://doi.org/10.1109/jcsse.2018.8457350

2. Rahm, E., Bernstein, P.: A survey of approaches to automatic schema matching. VLDB J. 10, 334–350 (2001). https://doi.org/10.1007/s007780100057

3. Lecture Notes in Computer Science;P Shvaiko,2005

4. Raamkumar, S.A., Thangavelu, K.M., Kaleeswaran, S., Khoo, S.G.C.: Designing a linked data migrational framework for Singapore government datasets (2015)

5. Hyland, B., Atemezing, G., Terrazas, V.B.: Best practices for publishing linked data. https://www.w3.org/TR/2014/NOTE-ld-bp-20140109/ . Accessed 16 Aug 2018

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1. Enabling Semantic Interoperability in Bhutan's E-Government: An Ontology-based Framework;2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE);2022-06-22

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