Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
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...
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
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...