Author Archives: Patrick Westphal

AKSW Colloquium, 18.04.2016, DISPONTE, Workbench for Big Data Dev

In this week’s Colloquium, today 18th of April at 3 PM, Patrick Westphal will present the paper ‘Probabilistic Description Logics under the Distribution Semantics‘ by Riguzzi et. al. Abstract Representing uncertain information is crucial for modeling real world domains. In … Continue reading

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DL-Learner 1.2 (Supervised Structured Machine Learning Framework) Released

Dear all, we are happy to announce DL-Learner 1.2. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can use various RDF and OWL serialization formats as well as SPARQL endpoints as input, can … Continue reading

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AKSW Colloquium, 17-08-2015, Relational Machine Learning for Knowledge Graphs, Zoo Keeper, Apache Mesos

Relational Machine Learning for Knowledge Graphs In this colloquium Patrick Westphal will present the paper “A Review of Relational Machine Learning for Knowledge Graphs” by Nickel, Murphy, Tresp and Gabrilovich. Abstract: Relational machine learning studies methods for the statistical analysis … Continue reading

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