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Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases
Martina Garofalo, Maria Angela Pellegrino, Abdulrahman Altabba +1
Industry is evolving towards Industry 4.0, which holds the promise of increased flexibility in manufacturing, better quality and improved productivity. A core actor of this growth…
A First Experiment on Including Text Literals in KGloVe
Michael Cochez, Martina Garofalo, Jérôme Lenßen +1
Graph embedding models produce embedding vectors for entities and relations in Knowledge Graphs, often without taking literal properties into account. We show an initial idea based…
Measuring Semantic Coherence of a Conversation
Svitlana Vakulenko, Maarten de Rijke, Michael Cochez +2
Conversational systems have become increasingly popular as a way for humans to interact with computers. To be able to provide intelligent responses, conversational systems must cor…
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
Md. Rezaul Karim, Michael Cochez, Achille Zappa +4
The study of genetic variants can help find correlating population groups to identify cohorts that are predisposed to common diseases and explain differences in disease susceptibil…
On the computation of Shannon Entropy from Counting Bloom Filters
Michael Cochez
In this short note a method for computing the naive plugin estimator of discrete entropy from a counting Bloom filter will be presented. The method does work reasonably as long as…