RDF Data Analysis with Activation Patterns

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Added by gromgull on 2010-11-23 10:21

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Creator(s): Peter Teufl and Günther Lackner

Description:
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.

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RDF Data Analysis with Activation Patterns 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. Peter Teufl and Günther Lackner