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Ranking knowledge graphs by capturing knowledge about languages and labels

Ranking knowledge graphs by capturing knowledge about languages and labels
Ranking knowledge graphs by capturing knowledge about languages and labels
Capturing knowledge about the mulitilinguality of a knowledge graph is of supreme importance to understand its applicability across multiple languages. Several metrics have been proposed for describing mulitilinguality at the level of a whole knowledge graph. Albeit enabling the understanding of the ecosystem of knowledge graphs in terms of the utilized languages, they are unable to capture a fine-grained description of the languages in which the different entities and properties of the knowledge graph are represented. This lack of representation prevents the comparison of existing knowledge graphs in order to decide which are the most appropriate for a multilingual application.
21-28
The Association for Computing Machinery
Kaffee, Lucie-Aimée
8975c12f-9033-47ed-a2eb-b674b707c2ac
Endris, Kemele M.
c75f39b9-262a-482c-9ec5-1ba96b19bb2d
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Vidal, Maria-Esther
3f7938e0-39e2-49c9-8a60-2be9b016f574
Kaffee, Lucie-Aimée
8975c12f-9033-47ed-a2eb-b674b707c2ac
Endris, Kemele M.
c75f39b9-262a-482c-9ec5-1ba96b19bb2d
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Vidal, Maria-Esther
3f7938e0-39e2-49c9-8a60-2be9b016f574

Kaffee, Lucie-Aimée, Endris, Kemele M., Simperl, Elena and Vidal, Maria-Esther (2019) Ranking knowledge graphs by capturing knowledge about languages and labels. In K-CAP '19: Proceedings of the 10th International Conference on Knowledge Capture. The Association for Computing Machinery. pp. 21-28 . (doi:10.1145/3360901.3364443).

Record type: Conference or Workshop Item (Paper)

Abstract

Capturing knowledge about the mulitilinguality of a knowledge graph is of supreme importance to understand its applicability across multiple languages. Several metrics have been proposed for describing mulitilinguality at the level of a whole knowledge graph. Albeit enabling the understanding of the ecosystem of knowledge graphs in terms of the utilized languages, they are unable to capture a fine-grained description of the languages in which the different entities and properties of the knowledge graph are represented. This lack of representation prevents the comparison of existing knowledge graphs in order to decide which are the most appropriate for a multilingual application.

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More information

Published date: 23 September 2019
Venue - Dates: 10th International Conference on Knowledge Capture, , Marina del Rey, United States, 2019-11-19 - 2019-11-21

Identifiers

Local EPrints ID: 446705
URI: http://eprints.soton.ac.uk/id/eprint/446705
PURE UUID: 69ed5922-1f56-45ec-9d4d-50a67f697bad
ORCID for Lucie-Aimée Kaffee: ORCID iD orcid.org/0000-0002-1514-8505
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X

Catalogue record

Date deposited: 18 Feb 2021 17:31
Last modified: 19 Feb 2021 02:49

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Contributors

Author: Lucie-Aimée Kaffee ORCID iD
Author: Kemele M. Endris
Author: Elena Simperl ORCID iD
Author: Maria-Esther Vidal

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