Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Vogt Lars"'
Machines need data and metadata to be machine-actionable and FAIR (findable, accessible, interoperable, reusable) to manage increasing data volumes. Knowledge graphs and ontologies are key to this, but their use is hampered by high access barriers du
Externí odkaz:
http://arxiv.org/abs/2407.20007
Autor:
Vogt, Lars
Knowledge graphs and ontologies are becoming increasingly vital as they align with the FAIR Guiding Principles (Findable, Accessible, Interoperable, Reusable). We address eleven challenges that may impede the full realization of the potential of FAIR
Externí odkaz:
http://arxiv.org/abs/2407.10720
Autor:
Vogt, Lars, Strömert, Philip, Matentzoglu, Nicolas, Karam, Naouel, Konrad, Marcel, Prinz, Manuel, Baum, Roman
FAIR data presupposes their successful communication between machines and humans while preserving their meaning and reference, requiring all parties involved to share the same background knowledge. Inspired by English as a natural language, we invest
Externí odkaz:
http://arxiv.org/abs/2405.03345
Autor:
Vogt, Lars
Knowledge graphs and ontologies are becoming increasingly important in the context of making data and metadata findable, accessible, interoperable, and reusable (FAIR). We introduce the concept of Semantic Units for organizing Knowledge Graphs into i
Externí odkaz:
http://arxiv.org/abs/2311.04761
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 graphs have been employed to enhance FAIRness, challenges re
Externí odkaz:
http://arxiv.org/abs/2307.09605
Knowledge graphs and ontologies provide promising technical solutions for implementing the FAIR Principles for Findable, Accessible, Interoperable, and Reusable data and metadata. However, they also come with their own challenges. Nine such challenge
Externí odkaz:
http://arxiv.org/abs/2304.09029
Autor:
Vogt, Lars
Ensuring the FAIRness (Findable, Accessible, Interoperable, Reusable) of data and metadata is an important goal in research and industry. Knowledge graphs and ontologies have been central in achieving this goal, with interoperability receiving much a
Externí odkaz:
http://arxiv.org/abs/2301.04202
Knowledge graphs and ontologies are becoming increasingly important as technical solutions for Findable, Accessible, Interoperable, and Reusable data and metadata (FAIR Guiding Principles). We discuss four challenges that impede the use of FAIR knowl
Externí odkaz:
http://arxiv.org/abs/2301.01227
Autor:
Müller Carsten HG, Møller Ole S, Kaul Sabrina, Heuer Carsten M, Grobe Peter, Fritsch Martin, Faller Simone, Döring Carmen, Brenneis Georg, Wanninger Andreas, Vogt Lars, Stach Thomas, Scholtz Gerhard, Schmidt-Rhaesa Andreas, Purschke Günter, Loesel Rudi, Richter Stefan, Rieger Verena, Rothe Birgen H, Stegner Martin EJ, Harzsch Steffen
Publikováno v:
Frontiers in Zoology, Vol 7, Iss 1, p 29 (2010)
Abstract Background Invertebrate nervous systems are highly disparate between different taxa. This is reflected in the terminology used to describe them, which is very rich and often confusing. Even very general terms such as 'brain', 'nerve', and 'e
Externí odkaz:
https://doaj.org/article/262482ab45b4407f943262ff93099e5a
Autor:
Vogt Lars
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 289 (2010)
Abstract Background With the continuously increasing demands on knowledge- and data-management that databases have to meet, ontologies and the theories of granularity they use become more and more important. Unfortunately, currently used theories and
Externí odkaz:
https://doaj.org/article/de195c405e7a43cfb0e35dd0d96fc704