2013
DOI: 10.1007/978-3-642-41033-8_96
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Imposing a Semantic Schema for the Detection of Potential Mistakes in Knowledge Resources

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Cited by 3 publications
(3 citation statements)
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“…This paper extends with significantly more details the work presented by the same author at the ODBASE 2013 conference[21]. 2 http://opengovernmentdata.org/…”
supporting
confidence: 71%
“…This paper extends with significantly more details the work presented by the same author at the ODBASE 2013 conference[21]. 2 http://opengovernmentdata.org/…”
supporting
confidence: 71%
“…Despite the availability of Geospatial Data Abstraction Library (GDAL) standards for raster and vector data formats, there is no compliance enforced; this is because of the use of geographically connected fields but open and fragmented standards. GeoNames, for example, includes 663 characteristics in 9 classes (Maltese & Farazi, 2013) while OSM data has its geographic information for features packaged individually as tags, ordered as a list of ways defining lines, points and relations for all entity elements (Patriarca et al, 2019). It also includes land use and land cover data.…”
Section: Discussionmentioning
confidence: 99%
“…Discovery: The full potential of Linked Data will be revealed with the discovery of related datasets and joint points for interlinking. In this direction, we identified Publicspending.gr and Geonames.org (Maltese, V., & Farazi, F., 2013) as suitable candidates. Linking to the first allows the user to find more information about payments and decisions and linking to the second adds a geographical dimension to the dataset.…”
Section: Modeling Processmentioning
confidence: 99%