We investigate hybrid AI systems that incorporate both Semantic Web Technologies (SWe) and Machine Learning (ML). These “SWeML” systems are benefiting from both technologies by overcoming respective shortcomings in order to fulfill complex tasks.
OBARIS: Ontology-Based Artificial Intelligence in Environmental Sector
Feb 1, 2020 Oct 31, 2022
The FFG-funded OBARIS project aims to advance the status quo in the area of auditable semantic artificial intelligence systems (SAISs), by investigating both conceptual aspects of these systems as well as a technology stack that facilitates transposing these system types into concrete settings.