Open Data Quality

Researches and publications about quality of open data

Tag: Semantic Web

Technical Usability of Wikidata’s Linked Data

Wikidata is an outstanding data source with potential application in many scenarios. Wikidata provides its data openly in RDF. This study aims to evaluate the usability of Wikidata as a data source for robots operating on the web of data, according to specifications and practices of linked data, the Semantic Web and ontology reasoning.

Read More

ADEQUATe: A Community-Driven Approach to Improve Open Data Quality

This paper introduces the ADEQUATe project—a platform to improve the quality of open data in a community-driven fashion. First, the context of the project is discussed: the issue of quality of open data, its relevance in Austria and how ADEQUATe attempts to tackle these matters.

Read More

Quality Assessment for Linked Data: A Survey

The development and standardization of semantic web technologies has resulted in an unprecedented volume of data being published on the Web as Linked Data (LD). However, we observe widely varying data quality ranging from extensively curated datasets to crowdsourced and extracted data of relatively low quality.

Read More

Linked Data: The Story so Far

The term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions— the Web of Data.

Read More

© 2017-2020 Open Data Quality