Exploring Linked Data Graph Structures

Anja Jentzsch, Christian Dullweber, Pierpaolo Troiano, Felix Naumann
2015 International Semantic Web Conference  
The true value of Linked Data becomes apparent when datasets are analyzed and understood already at the basic level of data types, constraints, value patterns etc. Such data profiling is especially challenging for Rdf data, the underlying data model on the Web of Data. In particular, graph analysis can be used to gain more insight into the data, induce schemas, or build indices. We present ProLod++, a tool for various profiling and mining tasks and in particular its recent extension GraphLod,
more » ... ich offers Rdf graph analysis features. ProLod++ features many interactive profiling results specific for open data, such as schema discovery for user-generated attributes, association rule discovery to uncover synonymous predicates, and key discovery along ontology hierarchies. GraphLod enhances it with subgraph pattern mining, node degree distribution, component visualization and analysis, and more.
dblp:conf/semweb/JentzschDTN15 fatcat:45rffzvqhzdsnlpbgv5lqgo2lm