| Abstract |
In this presentation I will describe foxPSL (https://github.com/uzh/fox), a fast and scalable implementation of Probabilistic Soft Logic (PSL) based on the distributed graph processing framework Signal Collect.
foxPSL allows users to describe problems with uncertainty both in the facts and in the background knowledge in an intuitive and user-friendly language, and perform logical and statistical reasoning on them to infer new facts.
In comparison to the state-of-the-art it provides a domain specific language with additional features and a much faster execution time. |