https://w3id.org/np/RA15Qy-Z0vorN7_jzVyBZ6HILLLR33AbzoFP5_5NwhXYs
has assertion: assertion
has provenance: provenance
has publication info: pubinfo
type: Nanopublication
created: 2026-08-28T11:33:16Z
creator: event-bot
license: https://creativecommons.org/licenses/by/4.0/
introduces: A Semantic Framework for the Synthesis of Causal Knowledge

A Semantic Framework for the Synthesis of Causal Knowledge
description: Part of Session 2.3 (SEMANTiCS) — Machine Learning for Knowledge Graphs. Chaired by Christophe Debruyne. Nominated for the Best Research and Innovation Track Paper Award.
is part of: 2026-eu
authored by: Marta Sabou
authored by: Katrin Ehrenmüller
authored by: Fajar J. Ekaputra
authored by: Lucas Kook
type: Q604733
end date: 2026-09-16T15:00:00+02:00
location: Kabinet
start date: 2026-09-16T13:30:00+02:00

sig
has algorithm: RSA
signed by: event-bot