Details
| Original language | English |
|---|---|
| Title of host publication | K-CAP 2019 |
| Subtitle of host publication | Proceedings of the 10th International Conference on Knowledge Capture |
| Place of Publication | New York |
| Pages | 243-246 |
| Number of pages | 4 |
| ISBN (electronic) | 9781450370080 |
| Publication status | Published - 23 Sept 2019 |
| Event | 10th International Conference on Knowledge Capture, K-CAP 2019 - Marina Del Rey, United States Duration: 19 Nov 2019 → 21 Nov 2019 |
Abstract
Keywords
- Information science, Knowledge capture, Knowledge graph, Research infrastructure, Scholarly communication
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Computational Theory and Mathematics
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Software
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K-CAP 2019: Proceedings of the 10th International Conference on Knowledge Capture. New York, 2019. p. 243-246.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Open research knowledge graph
T2 - 10th International Conference on Knowledge Capture, K-CAP 2019
AU - Jaradeh, Mohamad Yaser
AU - Oelen, Allard
AU - Farfar, Kheir Eddine
AU - Prinz, Manuel
AU - D'Souza, Jennifer
AU - Kismihók, Gábor
AU - Stocker, Markus
AU - Auer, Sören
N1 - Funding Information: This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and the TIB Leibniz Information Centre for Science and Technology. The authors would like to thank the participants of the ORKG workshop series, for their contributions to ORKG developments. We also like to thank our colleagues Kemele M. Endris, Viktor Kovtun, Arthur Brack and Anett Hoppe for their contributions.
PY - 2019/9/23
Y1 - 2019/9/23
N2 - Despite improved digital access to scholarly knowledge in recent decades, scholarly communication remains exclusively document-based. In this form, scholarly knowledge is hard to process automatically. We present the first steps towards a knowledge graph based infrastructure that acquires scholarly knowledge in machine actionable form thus enabling new possibilities for scholarly knowledge curation, publication and processing. The primary contribution is to present, evaluate and discuss multi-modal scholarly knowledge acquisition, combining crowdsourced and automated techniques. We present the results of the first user evaluation of the infrastructure with the participants of a recent international conference. Results suggest that users were intrigued by the novelty of the proposed infrastructure and by the possibilities for innovative scholarly knowledge processing it could enable.
AB - Despite improved digital access to scholarly knowledge in recent decades, scholarly communication remains exclusively document-based. In this form, scholarly knowledge is hard to process automatically. We present the first steps towards a knowledge graph based infrastructure that acquires scholarly knowledge in machine actionable form thus enabling new possibilities for scholarly knowledge curation, publication and processing. The primary contribution is to present, evaluate and discuss multi-modal scholarly knowledge acquisition, combining crowdsourced and automated techniques. We present the results of the first user evaluation of the infrastructure with the participants of a recent international conference. Results suggest that users were intrigued by the novelty of the proposed infrastructure and by the possibilities for innovative scholarly knowledge processing it could enable.
KW - Information science
KW - Knowledge capture
KW - Knowledge graph
KW - Research infrastructure
KW - Scholarly communication
U2 - 10.1145/3360901.3364435
DO - 10.1145/3360901.3364435
M3 - Conference contribution
AN - SCOPUS:85077251424
SP - 243
EP - 246
BT - K-CAP 2019
CY - New York
Y2 - 19 November 2019 through 21 November 2019
ER -