Search results

The user-study evaluates a vocabulary term recommendation service that is based on how other data providers have used RDF classes and properties in the Linked Open Data cloud. The study compares the machine learning technique Learning to Rank (L2R), the classical data mining approach Association Rule mining (AR), and a baseline that does not provide any recommendations. This data collection comprises the raw results of this user-study in SPSS format.

The main contribution of the survey is to condense and aggregate the experience and knowledge of Linked Data experts and practitioners regarding the most common strategies to reuse vocabularies when modeling Linked Open Data in a real-world scenario.