Zobrazeno 1 - 10
of 344
pro vyhledávání: '"Sören Auer"'
Publikováno v:
Journal of Biomedical Semantics, Vol 14, Iss 1, Pp 1-19 (2023)
Abstract Multiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction task. In this paper, we describe our work that attempts to go beyond bibliometric metadata to pr
Externí odkaz:
https://doaj.org/article/f2e3f247cf8741f7be8b6f40a1a8eab1
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
Autor:
Sören Auer, Dante A. C. Barone, Cassiano Bartz, Eduardo G. Cortes, Mohamad Yaser Jaradeh, Oliver Karras, Manolis Koubarakis, Dmitry Mouromtsev, Dmitrii Pliukhin, Daniil Radyush, Ivan Shilin, Markus Stocker, Eleni Tsalapati
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Knowledge graphs have gained increasing popularity in the last decade in science and technology. However, knowledge graphs are currently relatively simple to moderate semantic structures that are mainly a collection of factual statements. Qu
Externí odkaz:
https://doaj.org/article/1d163947d46245b68ce37cac348aab58
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
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 7 (2022)
Scholarly knowledge graphs provide researchers with a novel modality of information retrieval, and their wider use in academia is beneficial for the digitalization of published works and the development of scholarly communication. To increase the acc
Externí odkaz:
https://doaj.org/article/c18601a6460e41d39c1df5c99b9dd32a
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
Publikováno v:
Open Praxis, Vol 6, Iss 2, Pp 159-170 (2014)
The support of multilingual content becomes crucial for educational platforms due to the benefits it offers. In this paper we propose a concept that allows content authors to use the power of the crowd to create (semantically) structured multilingual
Externí odkaz:
https://doaj.org/article/c5c107cb835d4a68b30ce246b714e060
Publikováno v:
Information, Vol 9, Iss 12, p 302 (2018)
OpenCourseWare (OCW) systems have been established to provide open educational resources that are accessible by anyone, including learners with special accessibility needs and preferences. We need to find a formal and interoperable way to describe th
Externí odkaz:
https://doaj.org/article/1d51180717004e48938c18cc95d9de14
This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer rea
Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creatin