Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | JCDL 2020 |
| Untertitel | Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 97-106 |
| Seitenumfang | 10 |
| ISBN (elektronisch) | 9781450375856 |
| Publikationsstatus | Veröffentlicht - 1 Aug. 2020 |
| Veranstaltung | 2020 ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2020 - Virtual, Online, China Dauer: 1 Aug. 2020 → 5 Aug. 2020 |
Abstract
Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging a scholarly knowledge graph, we present a methodology and a system for comparing scholarly literature, in particular research contributions describing the addressed problem, utilized materials, employed methods and yielded results. The system can be used by researchers to quickly get familiar with existing work in a specific research domain (e.g., a concrete research question or hypothesis). Additionally, it can be used to publish literature surveys following the FAIR Data Principles. The methodology to create a research contribution comparison consists of multiple tasks, specifically: (a) finding similar contributions, (b) aligning contribution descriptions, (c) visualizing and finally (d) publishing the comparison. The methodology is implemented within the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that enables researchers to collaboratively describe, find and compare research contributions. We evaluate the implementation using data extracted from published review articles. The evaluation also addresses the FAIRness of comparisons published with the ORKG.
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JCDL 2020 : Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020. Institute of Electrical and Electronics Engineers Inc., 2020. S. 97-106 3398520.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Generate FAIR Literature Surveys with Scholarly Knowledge Graphs
AU - Oelen, Allard
AU - Jaradeh, Mohamad Yaser
AU - Stocker, Markus
AU - Auer, Soren
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. We want to thank Kheir Eddine Farfar for his contributions to this work.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging a scholarly knowledge graph, we present a methodology and a system for comparing scholarly literature, in particular research contributions describing the addressed problem, utilized materials, employed methods and yielded results. The system can be used by researchers to quickly get familiar with existing work in a specific research domain (e.g., a concrete research question or hypothesis). Additionally, it can be used to publish literature surveys following the FAIR Data Principles. The methodology to create a research contribution comparison consists of multiple tasks, specifically: (a) finding similar contributions, (b) aligning contribution descriptions, (c) visualizing and finally (d) publishing the comparison. The methodology is implemented within the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that enables researchers to collaboratively describe, find and compare research contributions. We evaluate the implementation using data extracted from published review articles. The evaluation also addresses the FAIRness of comparisons published with the ORKG.
AB - Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging a scholarly knowledge graph, we present a methodology and a system for comparing scholarly literature, in particular research contributions describing the addressed problem, utilized materials, employed methods and yielded results. The system can be used by researchers to quickly get familiar with existing work in a specific research domain (e.g., a concrete research question or hypothesis). Additionally, it can be used to publish literature surveys following the FAIR Data Principles. The methodology to create a research contribution comparison consists of multiple tasks, specifically: (a) finding similar contributions, (b) aligning contribution descriptions, (c) visualizing and finally (d) publishing the comparison. The methodology is implemented within the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that enables researchers to collaboratively describe, find and compare research contributions. We evaluate the implementation using data extracted from published review articles. The evaluation also addresses the FAIRness of comparisons published with the ORKG.
KW - Comparison user interface
KW - Digital libraries
KW - Fair data principles
KW - Scholarly communication
KW - Scholarly information systems
KW - Scholarly knowledge comparison
UR - http://www.scopus.com/inward/record.url?scp=85090098931&partnerID=8YFLogxK
U2 - 10.1145/3383583.3398520
DO - 10.1145/3383583.3398520
M3 - Conference contribution
AN - SCOPUS:85090098931
SP - 97
EP - 106
BT - JCDL 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2020
Y2 - 1 August 2020 through 5 August 2020
ER -