Sebastian Neumaier
ABSTRACT
The present work describes the ADEQUATe platform: a framework to monitor the quality of (Governmental) Open Data catalogs, to re-publish improved and linked versions of the datasets and their respective metadata descriptions, and to include the community in the quality improvement process. The information acquired by the linking and (meta)data improvement steps is then integrated in a semantic search engine. In the paper, we first describe the requirements of the platform, which are based on focus group interviews and a web-based survey. Second, we use these requirements to formulate the goals and show the architecture of the overall platform, and third, we showcase the potential and relevance of the platform to resolve the requirements by describing exemplary user journeys exploring the system. The platform is available at: https://www.adequate.at/
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- Sebastian Neumaier, Jürgen Umbrich, and Axel Polleres. Automated quality assessment of metadata across open data portals. Journal of Data and Information Quality (JDIQ), 8(1):2, 2016. Google ScholarDigital Library
- Fadi Maali and John Erickson. Data Catalog Vocabulary (DCAT). http://www.w3.org/TR/vocab-dcat/, January 2014.Google Scholar
- Sebastian Neumaier, Jürgen Umbrich, and Axel Polleres. Lifting data portals to the web of data. In WWW2017 Workshop on Linked Data on the Web (LDOW2017), Perth, Australia, April 3--7, 2017, 2017.Google Scholar
- Tomá Knap. Towards Odalic, a Semantic Table Interpretation Tool in the ADEQUATe Project. In Proceedings of the 5th International Workshop on Linked Data for Information Extraction co-located with the 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 22, 2017., pages 26--37, 2017.Google Scholar
- Tomá Knap et al. UnifiedViews: An ETL Tool for RDF Data Management. Semantic Web Journal, 2018 (to appear). http://www.semantic-web-journal.net/content/unifiedviews-etl-tool-rdf-data-management-0.Google Scholar
Index Terms
- Search, Filter, Fork, and Link Open Data: The ADEQUATe platform: data- and community-driven quality improvements
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