3 papers
cs.DB2023
Towards a GML-Enabled Knowledge Graph Platform
Hussein Abdallah, Essam Mansour
This vision paper proposes KGNet, an on-demand graph machine learning (GML) as a service on top of RDF engines to support GML-enabled SPARQL queries. KGNet automates the training o…
cs.LG2023
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science
Mossad Helali, Niki Monjazeb, Shubham Vashisth +6
In recent years, we have witnessed the growing interest from academia and industry in applying data science technologies to analyze large amounts of data. In this process, a myriad…
cs.AI2023
A Universal Question-Answering Platform for Knowledge Graphs
Reham Omar, Ishika Dhall, Panos Kalnis +1
Knowledge from diverse application domains is organized as knowledge graphs (KGs) that are stored in RDF engines accessible in the web via SPARQL endpoints. Expressing a well-forme…