The ADEQUATe platform: data- and community-driven quality improvements
This document describes the outcome of the ADEQUATe project, 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.
Abstract: With the success of Open Data a huge amount of tabular data sources became available that could potentially be mapped and linked into the Web of (Linked) Data. Most existing approaches to “semantically label” such tabular data rely on mappings of textual information to classes, properties, or instances in RDF knowledge bases in order to link – and eventually transform – tabular data into RDF.
Abstract: The Open Data movement has become a driver for publicly available data on the Web. More and more data – from governments, public institutions but also from the private sector – is made available online and is mainly published in so called Open Data portals. However, with the increasing number of published resources, there are a number of concerns with regards to the quality of the data sources and the corresponding metadata, which compromise the searchability, discoverability and usability of resources.
Reflexion paper presented at CeDEM 2016 Conference: ADEQUATe - Analytics and Data Enrichment to Improve the Quality of Open Data
Paper evaluating current approaches for (semi)automatic leveraging of tabular data to Linked Data got accepted to ESWC 2016 Linked Data Quality Workshop !
Abstract: Many applications and use cases which consume Open Data rely on up-to-date information. However, scarcely any major Open Data portal provides the users with tangible on how current the data sources are. In order to create a freshness metrics that would solve the mentioned issues, we need to i) learn the change history of a data source and ii) apply a heuristic to estimate how up-to-date a data source is. The following paper assesses which information about the change behaviour of a data source in an Open Data portal are available to derive such a change history.