In this area of research, we are investigating approaches to address the Named Entity Recognition (NER) task as well as how Knowledge Graphs can be used to improve upon and circumvent the shortcomings of existing models.
LYNX: Legal Knowledge Graph for Smart Compliance Services
Dec 1, 2017 Mar 31, 2021
The main objective of Lynx is to create an ecosystem of smart cloud services to better manage compliance, based on a legal knowledge graph (LKG) which integrates and links heterogeneous compliance data sources including legislation, case law, standards and other private contracts.
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.