Knowledge Graph Alignment as a Service
Upson, R. & Jimenez-Ruiz, E. 
ORCID: 0000-0002-9083-4599 (2022).
Knowledge Graph Alignment as a Service.
In:
CEUR Workshop Proceedings.
Proceedings of the ISWC 2022 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, 23-27 Oct 2022, Hangzhou, China.
Abstract
Researchers and practitioners in the field of knowledge graphs rely on a variety of tools to perform knowledge graph alignment. In order to broaden the domain of a knowledge scientist, the process of aligning knowledge graphs must be accessible to a broader range of users, and in a way that can scale to meet the needs of a growing userbase. This paper presents a cloud-based, language agnostic approach that aims at providing knowledge graph alignment tooling at scale.
| Publication Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | © 2022. Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
| Publisher Keywords: | Knowledge Graph Alignment, Cloud Computing, REST API |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | School of Science & Technology > Computer Science |
Available under License Creative Commons: Attribution International Public License 4.0.
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