Statistical analysis of web of data usage
Markus Luczak–Roesch, Markus Bischoff · 2011
Abstract. The Linked Data initiative gained momentum inside as well as outside of the research community. Thus, it is already an accepted research issue to investigate usage mining in the context of the Web of Data from various perspectives. We are currently working on an approach that applies such usage mining methods and analysis to support ontology and dataset maintenance tasks. This paper presents one part of this work, namely a method to detect errors or weaknesses within ontologies used for Linked Data population based on statistics and network visualizations. We contribute a detailed description of a log file preprocessing algorithm for Web of Data endpoints, a set of statistical measures that help to visualize different usage aspects, and an examplary analysis of one of the most prominent Linked Data set – DBpedia – aimed to show the feasibility and the potential of our approach.