Clustering data from DBpedia using AHC

 This workflow uses Aglomerative Hierarchical Clustering algorithm to build hierarchy of clusters on data downloaded from DBpedia, the semantic version of Wikipedia.

RDF data are downloaded from SPARQL endpoint and merged with DBpedia ontology by "Build Knowledge Base". Set of items to cluster is selected with "SPARQL Selector" and later they are clustered by "Agglomerative Hierarchical Clustering" with distance measure induced by the Bloehdorn Kernel [1].

[1] S. Bloehdorn, Y. Sure. Kernel methods for mining instance data in ontologies. The Semantic Web, strony 58–71, 2007.