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PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 5 days ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
ESWS
2008
Springer
13 years 7 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 6 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
ECAI
2010
Springer
13 years 3 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
SDMW
2004
Springer
13 years 11 months ago
PeerTrust: Automated Trust Negotiation for Peers on the Semantic Web
Abstract. Researchers have recently begun to develop and investigate policy languages to describe trust and security requirements on the Semantic Web. Such policies will be one com...
Wolfgang Nejdl, Daniel Olmedilla, Marianne Winslet...