Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs

no code implementations • 1 Oct 2022 • Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger, Evgeny Sherkhonov

Vadalog is a Knowledge Representation and Reasoning (KRR) language based on Warded Datalog+/-, a logical core language of existential rules, with a good balance between computational complexity and expressive power.

Knowledge Graphs Management +1

Enriching a Fashion Knowledge Graph from Product Textual Descriptions

no code implementations • 2 Jun 2022 • João Barroca, Abhishek Shivkumar, Beatriz Quintino Ferreira, Evgeny Sherkhonov, João Faria

We use a transfer learning based approach to train an NER module on a small amount of manually labeled data, followed by an EL module that links the previously identified named entities to the appropriate entities within the FKG.

Entity Linking Knowledge Graphs +4

Data Science with Vadalog: Bridging Machine Learning and Reasoning

no code implementations • 23 Jul 2018 • Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stephane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Lianlong Wu

Following the recent successful examples of large technology companies, many modern enterprises seek to build knowledge graphs to provide a unified view of corporate knowledge and to draw deep insights using machine learning and logical reasoning.

BIG-bench Machine Learning Knowledge Graphs +2