KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science

1 code implementation • 3 Mar 2023 • Mossad Helali, Niki Monjazeb, Shubham Vashisth, Philippe Carrier, Ahmed Helal, Antonio Cavalcante, Khaled Ammar, Katja Hose, Essam Mansour

Hence, this paper presents a scalable platform, KGLiDS, that employs machine learning and knowledge graph technologies to abstract and capture the semantics of data science artifacts and their connections.

AutoML Knowledge Graphs