Abstract
Recently, Thailand has started initiating the Thailand open government data project that continuously triggers an increment in the number of open datasets. Open data is valuable when the data is reused, shared and integrated. Converting the existing datasets to the RDF format can increase the values of these datasets. In this paper, we present the architecture and processes for RDF dataset management for Data.go.th based on OAM Framework which supports the entire processes: RDF data publishing, and data querying. Our approach is different from other LOD platforms in that users do not require the knowledge of RDF and SPARQL. Our platform would facilitate data publishing and querying process for novice users and make it easier to use. This framework provides a common ontology-based search interface and RESTFul APIs constructed automatically for the datasets when they are published. With the provided services for the datasets, it can simplify the user’s tasks in publishing datasets and create applications for the datasets. In consuming the RDF data, we implemented a sample mash-up application which accessed the published weather and reservoir datasets from the Data.go.th website via RESTful APIs.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Csv2rdf4lod (http://data-gov.tw.rpi.edu/wiki/Csv2rdf4lod).
- 2.
OpenLink Virtuoso (http://virtuoso.openlinksw.com/).
- 3.
Grafter (http://grafter.org/).
- 4.
Information Workbench (http://www.fluidops.com/en/portfolio/information_workbench/).
- 5.
OpenRefine (http://openrefine.org/).
References
Huijboom, N., Van Den Broek, T.: Open data: an international comparison of strategies. Eur. J. ePract. 12, 1–13 (2011)
Ding, L., Lebo, T., Erickson, J.S., Difranzo, D., Williams, G.T., Li, X., Michaelis, J., Graves, A., Zheng, J.G., Shangguan, Z., Flores, J., McGuinness, D.L., Hendler, J.A.: TWC LOGD: a portal for linked open government data ecosystems. J. Web Semant. 9, 325–333 (2011)
Shadbolt, N., O’Hara, K., Berners-lee, T., Gibbins, N., Glaser, H., Hall, W., Schraefel, M.C.: Linked open government data: Lessons from data.gov.uk. IEEE Intell. Syst. 27, 16–24 (2012)
5 Star Open Data. http://5stardata.info/
Buranarach, M., Thein, Y.M., Supnithi, T.: A community-driven approach to development of an ontology-based application management framework. In: Lecture Notes Computing Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7774, pp. 306–312 (2013)
About—PublicData.eu. http://publicdata.eu/about
DaPaaS|DaPaaS—a data-and-platform-as-a-service approach to efficient open data publication and consumption. http://project.dapaas.eu/
Kim, S., Kim, S., Berlocher, I., Lee, T.: RDF based linked open data management as a DaaS Platform LODaaS. In: The First International Conference on Big Data, Small Data, Linked Data and Open Data (2015)
Mouromtsev, D.I., Vlasov, V.V., Parkhimovich, O.V., Galkin, M., Knyazev, V.S.: Development of the St. Petersburg’s linked open data site using information workbench. In: 2013 14th Conference of Open Innovations Association (FRUCT), Espoo, pp. 77–82 (2013)
Maali, F., Cyganiak, R., Peristeras, V.: A publishing pipeline for linked government data. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7295, pp. 778–792 (2012)
Acknowledgments
This project was funded by the Electronic Government Agency (EGA) and the National Science and Technology Development Agency (NSTDA), Thailand.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Krataithong, P., Buranarach, M., Supnithi, T. (2018). RDF Dataset Management Framework for Data.go.th. In: Theeramunkong, T., Skulimowski, A., Yuizono, T., Kunifuji, S. (eds) Recent Advances and Future Prospects in Knowledge, Information and Creativity Support Systems. KICSS 2015. Advances in Intelligent Systems and Computing, vol 685. Springer, Cham. https://doi.org/10.1007/978-3-319-70019-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-70019-9_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70018-2
Online ISBN: 978-3-319-70019-9
eBook Packages: EngineeringEngineering (R0)