ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph. / Auer, Sören; Stocker, Markus; Vogt, Lars; Fraumann, Grischa; Garatzogianni, Alexandra.

In: Research Ideas and Outcomes, Vol. 7, No. e68513, 2021.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Auer, S, Stocker, M, Vogt, L, Fraumann, G & Garatzogianni, A 2021, 'ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph', Research Ideas and Outcomes, vol. 7, no. e68513. https://doi.org/10.3897/rio.7.e68513

APA

Auer, S., Stocker, M., Vogt, L., Fraumann, G., & Garatzogianni, A. (2021). ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph. Research Ideas and Outcomes, 7(e68513). https://doi.org/10.3897/rio.7.e68513

Vancouver

Auer S, Stocker M, Vogt L, Fraumann G, Garatzogianni A. ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph. Research Ideas and Outcomes. 2021;7(e68513). https://doi.org/10.3897/rio.7.e68513

Author

Auer, Sören ; Stocker, Markus ; Vogt, Lars ; Fraumann, Grischa ; Garatzogianni, Alexandra. / ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph. In: Research Ideas and Outcomes. 2021 ; Vol. 7, No. e68513.

Bibtex

@article{fddaa09338884aa78c9a47f04e008365,
title = "ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph",
abstract = "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) Grant in September 2020 (https://erc.europa.eu/funding/proof-concept). The proposal was evaluated by five reviewers and has been placed after the evaluations on the reserve list. The main document of the original proposal did not contain an abstract.",
keywords = "Faculty of Humanities, Scholarly Communication, Publishing/history, Information behavior, Faculty of Science, knowledge engineering, Machine learning, knowledge graph, technology transfer",
author = "S{\"o}ren Auer and Markus Stocker and Lars Vogt and Grischa Fraumann and Alexandra Garatzogianni",
year = "2021",
doi = "10.3897/rio.7.e68513",
language = "English",
volume = "7",
journal = "Research Ideas and Outcomes",
issn = "2367-7163",
publisher = "Pensoft Publishers",
number = "e68513",

}

RIS

TY - JOUR

T1 - ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph

AU - Auer, Sören

AU - Stocker, Markus

AU - Vogt, Lars

AU - Fraumann, Grischa

AU - Garatzogianni, Alexandra

PY - 2021

Y1 - 2021

N2 - 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) Grant in September 2020 (https://erc.europa.eu/funding/proof-concept). The proposal was evaluated by five reviewers and has been placed after the evaluations on the reserve list. The main document of the original proposal did not contain an abstract.

AB - 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) Grant in September 2020 (https://erc.europa.eu/funding/proof-concept). The proposal was evaluated by five reviewers and has been placed after the evaluations on the reserve list. The main document of the original proposal did not contain an abstract.

KW - Faculty of Humanities

KW - Scholarly Communication

KW - Publishing/history

KW - Information behavior

KW - Faculty of Science

KW - knowledge engineering

KW - Machine learning

KW - knowledge graph

KW - technology transfer

U2 - 10.3897/rio.7.e68513

DO - 10.3897/rio.7.e68513

M3 - Journal article

VL - 7

JO - Research Ideas and Outcomes

JF - Research Ideas and Outcomes

SN - 2367-7163

IS - e68513

ER -

ID: 269619892