Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Constructing a Site for Publishing Open Data of the Ministry of Economy, Trade, and Industry
A Practice for 5 Star Open Data
Yu AsanoSeiji KoideMakoto IwayamaFumihiro KatoIwao KobayashiTadashi MimaIkki OhmukaiHideaki Takeda
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JOURNAL FREE ACCESS Advance online publication

Article ID: LOD-27

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Abstract
We describe a procedure for constructing a website for publishing open data by focusing on the case of Open DATA METI, a website of the Ministry of Economy, Trade, and Industry. We developed two sites for publishing open data: a data catalog site and one for searching linked open data (LOD). The former allows users to find relevant data they want to use, and the latter allows them to utilize the found data by connecting them. To implement the data catalog site, we constructed a site tailored to the needs of the organization. Then we extracted a large amount of metadata from the individual open data and put it on the site. These activities would have taken a lot of time if we had used the existing methods, so we devised our own solutions for them. To implement the LOD searching site, we converted the data into LOD form in the Resource Description Framework (RDF). We focused on converting statistical data into tables, which are widely used. Regarding the conversion, there were several kinds of missing information that we needed to associate with the data in the tables. We created a template for incorporating the necessary information for LOD in the original table. The conversion into LOD was automatically done using the template.
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© The Japanese Society for Artificial Intelligence 2016
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