18 citations · 19 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Towards a Rosetta Stone for (meta)data: Learning from natural language to improve semantic and cognitive interoperability
Lars Vogt, Marcel Konrad, Manuel Prinz
In order to effectively manage the overwhelming influx of data, it is crucial to ensure that data is findable, accessible, interoperable, and reusable (FAIR). While ontologies and…
Knowledge Graph Building Blocks: An easy-to-use Framework for developing FAIREr Knowledge Graphs
Lars Vogt, Marcel Konrad, Manuel Prinz
Knowledge graphs and ontologies provide promising technical solutions for implementing the FAIR Principles for Findable, Accessible, Interoperable, and Reusable data and metadata.…