1 citations · 1 across the 2 of their papers we have counts for
4 papers
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.…
Semantic Units: Organizing knowledge graphs into semantically meaningful units of representation
Lars Vogt, Tobias Kuhn, Robert Hoehndorf
Knowledge graphs and ontologies are becoming increasingly important as technical solutions for Findable, Accessible, Interoperable, and Reusable data and metadata (FAIR Guiding Pri…
The FAIREr Guiding Principles: Organizing data and metadata into semantically meaningful types of FAIR Digital Objects to increase their human explorability and cognitive interoperability
Lars Vogt
Ensuring the FAIRness (Findable, Accessible, Interoperable, Reusable) of data and metadata is an important goal in both research and industry. Knowledge graphs and ontologies have…