RDF data can be analyzed with various query languages such as SPARQL

or SeRQL. Due to their nature these query languages do not support fuzzy queries. In this paper we present a new method that transforms the information presented by subject-relation-object relations within RDF data into Activation Patterns. These patterns represent a common model that is the basis for a number of sophisticated analysis methods such as semantic relation analysis, semantic search queries, unsuper- vised clustering, supervised learning or anomaly detection. In this paper, we explain the Activation Patterns concept and apply it to an RDF representation of the well known CIA World Factbook.