5 papers · 1 filter
The TripleA Principle: Making Knowledge Actionable, Applicable, and Auditable in Post-FAIR Infrastructures
Lars Vogt, Robert Fruehstueckl, Tim Alamenciak
Ecological restoration, species distribution modelling, and invasive species management share a difficulty: knowledge that is findable and reusable carries no explicit account of t…
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…
Rethinking OWL Expressivity: Semantic Units for FAIR and Cognitively Interoperable Knowledge Graphs Why OWLs don't have to understand everything they say
Lars Vogt
Semantic knowledge graphs are foundational to implementing the FAIR Principles, yet RDF/OWL representations often lack the semantic flexibility and cognitive interoperability requi…
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…
FAIR Knowledge Graphs with Semantic Units: a Prototype
Lars Vogt
Knowledge graphs and ontologies are becoming increasingly important in the context of making data and metadata findable, accessible, interoperable, and reusable (FAIR). We introduc…