Linking Scholarly Datasets - The EOSC Perspective
[ 1 ] Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ 2 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ S ] student | [ P ] pracownik
2023
rozdział w monografii naukowej / referat
angielski
- Big scholarly datasets
- Entity linking
- EOSC
- Microsoft Academic Graph
- OpenAIRE Graph
EN A plethora of publicly available, open scholarly data has paved the way for many applications and advanced analytics on science. However, a single dataset often contains incomplete or inconsistent records, significantly hindering its use in real-world scenarios. To address this problem, we propose a framework that allows linking scientific datasets. The resulting connections can increase the credibility of information about a given entity and serve as a link between different scholarly graphs. The outcome of this work will be used in the European Open Science Cloud (EOSC) as a base for introducing new recommendation features.
26.06.2023
608 - 623
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