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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.


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
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