91 citations
- L3S Research CenterDE40 papers
- Leibniz University HannoverDE34 papers
- University of BonnDE8 papers
- FIZ Karlsruhe – Leibniz Institute for Information InfrastructureDE3 papers
- Heidelberg UniversityDE3 papers
- Institut Mihajlo PupinRS3 papers
- Universidad Politécnica de MadridES3 papers
- University of BelgradeRS3 papers
- Fraunhofer Institute for Intelligent Analysis and Information SystemsDE2 papers
- Leibniz-Institut für WissensmedienDE2 papers
- National and Kapodistrian University of AthensGR2 papers
- Technische Universität BraunschweigDE2 papers
8 papers · 1 filter
Semantic Web: Past, Present, and Future (with Machine Learning on Knowledge Graphs and Language Models on Knowledge Graphs)
Ansgar Scherp, Gerd Groener, Petr Škoda +2
Ever since the vision was formulated, the Semantic Web has inspired many generations of innovations. Semantic technologies have been used to share vast amounts of information on th…
Articulation Work and Tinkering for Fairness in Machine Learning
Miriam Fahimi, Mayra Russo, Kristen M. Scott +3
The field of fair AI aims to counter biased algorithms through computational modelling. However, it faces increasing criticism for perpetuating the use of overly technical and redu…
SWARM-SLR -- Streamlined Workflow Automation for Machine-actionable Systematic Literature Reviews
Tim Wittenborg, Oliver Karras, Sören Auer
Authoring survey or review articles still requires significant tedious manual effort, despite many advancements in research knowledge management having the potential to improve eff…
Rosetta Statements: Simplifying FAIR Knowledge Graph Construction with a User-Centered Approach
Lars Vogt, Kheir Eddine Farfar, Pallavi Karanth +4
Machines need data and metadata to be machine-actionable and FAIR (findable, accessible, interoperable, reusable) to manage increasing data volumes. Knowledge graphs and ontologies…
FAIR 2.0: Extending the FAIR Guiding Principles to Address Semantic Interoperability
Lars Vogt, Philip Strömert, Nicolas Matentzoglu +4
FAIR data presupposes their successful communication between machines and humans while preserving their meaning and reference, requiring all parties involved to share the same back…
(Non-)retracted academic papers in OpenAlex
Christian Hauschke, Serhii Nazarovets
The proliferation of scholarly publications underscores the necessity for reliable tools to navigate scientific literature. OpenAlex, an emerging platform amalgamating data from di…