Abstract
Creation and re-usability of language resources in accordance with Linked Data principles is a valuable asset in the modern data world. We describe the contributions made to extend the Linguistic Linked Open Data (LLOD) stack with a new resource, Coreon MKS, bringing together concept-oriented, language-agnostic terminology management and graph-based knowledge organisation. We dwell on our approach to mirroring of Coreon’s original data structure to RDF and supplying it with a SPARQL endpoint. We integrate MKS into the existing ELG infrastructure, using it as a platform for making the published MKS discoverable and retrievable via a industry-standard interface. While we apply this approach to LLOD-ify Coreon MKS, it can also provide relevant input for standardisation bodies and interoperability communities, acting as a blueprint for similar integration activities.
Chapter PDF
Similar content being viewed by others
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Copyright information
© 2023 The Author(s)
About this chapter
Cite this chapter
Vasilevich, A., Wetzel, M. (2023). Multilingual Knowledge Systems as Linguistic Linked Open Data. In: Rehm, G. (eds) European Language Grid. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-17258-8_23
Download citation
DOI: https://doi.org/10.1007/978-3-031-17258-8_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-17257-1
Online ISBN: 978-3-031-17258-8
eBook Packages: Computer ScienceComputer Science (R0)