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pro vyhledávání: '"Lars, Vogt"'
Publikováno v:
Journal of Biomedical Semantics, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Background In today’s landscape of data management, the importance of knowledge graphs and ontologies is escalating as critical mechanisms aligned with the FAIR Guiding Principles—ensuring data and metadata are Findable, Accessible, Inte
Externí odkaz:
https://doaj.org/article/9e3a9a02d97445d188f1e911bc018a38
Autor:
Maud Bernard-Verdier, Tina Heger, Daniel Mietchen, Camille Musseau, Marc Brinner, Alexander Hillig, Peter Kraker, Sophie Lokatis, Ana Luisa Nunes, Nils Scheidweiler, Markus Stocker, Roxane Vial, Lars Vogt, Sven Bacher, Eya Baklouti, Harsh Bardhan Gupta, Jean-Nicolas Beisel, Sandro Bertolino, Elizabeta Briski, Gustavo Castellanos-Galindo, Franck Courchamp, Ella Daly, Wayne Dawson, James Dickey, Thomas Evans, Yuval Itescu, Birgitta Koenig-Ries, Lohith Kumar, Sabrina Kumschick, Laura Meyerson, Zarah Pattison, William Pfadenhauer, David Renault, Fiona Rickowski, Florian Ruland, Conrad Schittko, Tanja Straka, Florencia Yannelli, Jonathan Jeschke
Publikováno v:
Research Ideas and Outcomes, Vol 9, Iss , Pp 1-31 (2023)
With the exponential increase in scientific publications, new conceptual and technological tools are needed to help scientists, students, managers and policy-makers to navigate and digest current scientific knowledge. Hi Knowledge is an initiative to
Externí odkaz:
https://doaj.org/article/0c9e318df82646d5a97ec77f937360f9
Publikováno v:
Journal of Biomedical Semantics, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/02fa01e75f4f469e871011161173e762
Autor:
Jennifer D'Souza, Hassan Hussein, Julia Evans, Lars Vogt, Oliver Karras, Vinodh Ilangovan, Anna-Lena Lorenz, Sören Auer
Publikováno v:
JLIS.it, Vol 15, Iss 1 (2024)
The Open Research Knowledge Graph (ORKG) is a digital library for machine-actionable scholarly knowledge, with a focus on structured research comparisons obtained through expert crowdsourcing. While the ORKG has attracted a community of more than 1,0
Externí odkaz:
https://doaj.org/article/47716265903c407088993dee3d6870e5
Akademický článek
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Publikováno v:
Journal of Biomedical Semantics, Vol 13, Iss 1, Pp 1-27 (2022)
Abstract Background In times of exponential data growth in the life sciences, machine-supported approaches are becoming increasingly important and with them the need for FAIR (Findable, Accessible, Interoperable, Reusable) and eScience-compliant data
Externí odkaz:
https://doaj.org/article/0b8b2dc3365a48d6940020f72b6cd727
Autor:
Markus Stocker, Tina Heger, Artur Schweidtmann, Hanna Ćwiek-Kupczyńska, Lyubomir Penev, Milan Dojchinovski, Egon Willighagen, Maria-Esther Vidal, Houcemeddine Turki, Daniel Balliet, Ilaria Tiddi, Tobias Kuhn, Daniel Mietchen, Oliver Karras, Lars Vogt, Sebastian Hellmann, Jonathan Jeschke, Paweł Krajewski, Sören Auer
Publikováno v:
Research Ideas and Outcomes, Vol 8, Iss , Pp 1-61 (2022)
In the age of advanced information systems powering fast-paced knowledge economies that face global societal challenges, it is no longer adequate to express scholarly information - an essential resource for modern economies - primarily as article nar
Externí odkaz:
https://doaj.org/article/6b32d2d692c34b9a94fa45fa30b7bcc8
Autor:
Lars Vogt
Publikováno v:
Journal of Biomedical Semantics, Vol 12, Iss 1, Pp 1-25 (2021)
Abstract Background The size, velocity, and heterogeneity of Big Data outclasses conventional data management tools and requires data and metadata to be fully machine-actionable (i.e., eScience-compliant) and thus findable, accessible, interoperable,
Externí odkaz:
https://doaj.org/article/c9ed335667ea417582a15ce9c309b953
Publikováno v:
Research Ideas and Outcomes, Vol 7, Iss , Pp 1-17 (2021)
This document is an edited version of the original funding proposal entitled 'ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph' that was submitted to the European Research Council (ERC) Proof of Concept (PoC)
Externí odkaz:
https://doaj.org/article/584f6d83740a4d61ba908a228f5266fd
Autor:
Lars Vogt
Publikováno v:
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-14 (2019)
Abstract Background Currently, almost all morphological data are published as unstructured free text descriptions. This not only brings about terminological problems regarding semantic transparency, which hampers their re-use by non-experts, but the
Externí odkaz:
https://doaj.org/article/99e309eda02c4022a2ab1b1df6dd9eb5