In this paper authors present a new concept of geospatial quality assurance that is currently planned to be implemented in the German Federal Agency of Cartography and Geodesy. Linked open data is being enriched with Semantic Web data in order to create thematic maps relevant to the population.
Tag: Germany
Athors report on the development of a new software tool (AutoQC4Env) for automated quality control (QC) of environmental time series data. Novel features of this tool include a flexible Python software architecture, which makes it easy for users to configure the sequence of tests as well as their statistical parameters, and a statistical concept to assign each value a probability of being a valid data point.
Researchers publish papers to report their research results and, thus, contribute to a steadily growing corpus of knowledge. To not unintentionally repeat research and studies, researchers need to be aware of the existing corpus. For this purpose, they crawl digital libraries and conduct systematic literature reviews to summarize existing knowledge.
In this paper authors presents a new way to evaluate geospatial data quality using Semantic technologies. In contrast to non-semantic approaches to evaluate data quality, Semantic technologies allow them to model situations in which geospatial data may be used and to apply costumized geospatial data quality models using reasoning algorithms on a broad scale.
