Entwicklung eines prototypischen Tools zur Automatisierung der Erstellung von Linked Open Data aus Open Data Datensätzen

Abstract

Linked Data has become an increasingly important publication format for structured information. This thesis explores the extent to which the conversion of Open Data into Linked Open Data can be automated and identifies the main challenges and sources of error. The creation of a prototypical tool was used to gain insights into these challenges and sources of error during the conversion to Linked Data. These were then analyzed and solutions to these problems created. The resulting tool was evaluated with different Open Data datasets. The results show that it is able to partially automate the process of converting Open Data to Linked Open Data and that it succeeded in eliminating key barriers, like the necessary programming skills, currently needed to create Linked Data. This prototype contributes towards decreasing the barrier of entry to create Linked Data and indicates that further research could lead towards the fully automatic conversion to RDF

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