Multilingual Knowledge Graphs and Low-Resource Languages: A Review

Kaffee, L.-A. and Biswas, R. and Keet, C.M. and Vakaj, E. K. and de Melo, G. (2023) Multilingual Knowledge Graphs and Low-Resource Languages: A Review, Transactions on Graph Data and Knowledge, 1, 1-19.

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Abstract

There is a lack of multilingual data to support applications in a large number of languages, especially for low-resource languages. Knowledge graphs (KG) could contribute to closing the gap of language support by providing easily accessible, machine-readable, multilingual linked data, which can be reused across applications. In this paper, we provide an overview of work in the domain of multilingual KGs with a focus on low-resource languages. We review the current state of multilingual KGs along with the different aspects that are crucial for creating KGs with language coverage in mind. Special consideration is given to challenges particular to low-resource languages in KGs. We further provide an overview of applications that yield multilingual KG information as well as downstream applications reusing such multilingual data. Finally, we explore open problems regarding multilingual KGs with a focus on low-resource languages.

Item Type: Journal article (paginated)
Subjects: Information systems > World Wide Web > Web data description languages
Alternate Locations: https://doi.org/10.4230/TGDK.1.1.10
Date Deposited: 10 Aug 2024 13:23
Last Modified: 10 Aug 2024 13:23
URI: https://pubs.cs.uct.ac.za/id/eprint/1677

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