Abstract
The Japanese Statistics Center began publishing a statistical linked open data (LOD) site in 2016. The data currently consists of approximately 1.3 billion triples. The publication of statistical data as LOD enables datasets and categorizations to be clarified. This allows users not only to search objective data easily, but also to combine the data with other domestic or international data. This paper first introduces a design policy for LOD and a method for representing geographic areas. Then, it explains the method used to query the LOD by using SPARQL or GeoSPARQL, and provides one example application.
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References
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Appendix
Appendix
A. List of prefixes and namespaces.
Prefix | Namespace |
|---|---|
skos | |
rdfs | |
xsd | |
qb | |
dcterms | |
sdmx-dimension | |
geo | |
ogcf | |
orageo | |
cen | |
estat-attribute | |
estat-attribute-code | |
estat-measure | |
cd-dimension | http://data.e-stat.go.jp/lod/ontology/crossDomain/dimension/ |
cd-code | |
g00200502-dimension | |
g00200502-code | |
sac | |
sacs | |
sa-g00200521-2015 |
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Matsuda, J. et al. (2018). Publication of Statistical Linked Open Data in Japan. In: Ichise, R., Lecue, F., Kawamura, T., Zhao, D., Muggleton, S., Kozaki, K. (eds) Semantic Technology. JIST 2018. Lecture Notes in Computer Science(), vol 11341. Springer, Cham. https://doi.org/10.1007/978-3-030-04284-4_21
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DOI: https://doi.org/10.1007/978-3-030-04284-4_21
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