Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases

no code implementations • 31 Jul 2018 • Martina Garofalo, Maria Angela Pellegrino, Abdulrahman Altabba, Michael Cochez

A natural way to represent the data generated by this large amount of sensors, which are not acting measuring independent variables, and the interaction of the different devices is by using a graph data model.

BIG-bench Machine Learning Feature Engineering +2

A First Experiment on Including Text Literals in KGloVe

no code implementations • 31 Jul 2018 • Michael Cochez, Martina Garofalo, Jérôme Lenßen, Maria Angela Pellegrino

Graph embedding models produce embedding vectors for entities and relations in Knowledge Graphs, often without taking literal properties into account.

BIG-bench Machine Learning Graph Embedding +1