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.