Research output: Contribution to conference - Without ISBN/ISSN › Poster › peer-review
Research output: Contribution to conference - Without ISBN/ISSN › Poster › peer-review
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TY - CONF
T1 - Learning to Classify Identity Web References Using RDF Graphs
AU - Rowe, Matthew
AU - Iria, Jose
PY - 2009
Y1 - 2009
N2 - The need to monitor a person's web presence has risen in recent years due to identity theft and lateral surveillance becoming prevalent web actions. In this paper we present a machine learning-inspired bootstrapping approach to monitor identity web references that only requires as input an initial small seed set of data modelled as an RDF graph. We vary the combination of different RDF graph matching paradigms with different machine learning classifiers and observe the effects on the classification of identity web references. We present preliminary results of an evaluation in order to show the variation in accuracy of these different permutations.
AB - The need to monitor a person's web presence has risen in recent years due to identity theft and lateral surveillance becoming prevalent web actions. In this paper we present a machine learning-inspired bootstrapping approach to monitor identity web references that only requires as input an initial small seed set of data modelled as an RDF graph. We vary the combination of different RDF graph matching paradigms with different machine learning classifiers and observe the effects on the classification of identity web references. We present preliminary results of an evaluation in order to show the variation in accuracy of these different permutations.
KW - Semantic web
M3 - Poster
T2 - Poster Track of the International Semantic Web Conference 2009
Y2 - 20 October 2009
ER -