Knowledge graph matching with inter-service information transfer
Knowledge graph matching with inter-service information transfer
Knowledge graph matching is an approach to create entitymappings of structured data with linked data sources. As an automatedapproach, this paper explains a sparql query based matching engine developed during the Columns-Property Annotation (CPA) Challenge under ISWC 2020 SemTab challenge (Semantic Web Challenge on TabularData to Knowledge Graph Matching). The proposed approach utilizesa text correction via different knowledge base services/libraries as wellas numeric interval definitions to identify negligible numeric differences.The approach (submitted as TeamTR) achived, in the CPA task, F1-scores of 0.916. 0.873 and 0.837 in Rounds 1, 2 and 3, respectively.
104-108
CEUR Workshop Proceedings
Yumusak, S.
5a45f53d-7a3c-4e3d-93b1-bc83f7096f37
2020
Yumusak, S.
5a45f53d-7a3c-4e3d-93b1-bc83f7096f37
Yumusak, S.
(2020)
Knowledge graph matching with inter-service information transfer.
In Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2020).
vol. 2775,
CEUR Workshop Proceedings.
.
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Conference or Workshop Item
(Paper)
Abstract
Knowledge graph matching is an approach to create entitymappings of structured data with linked data sources. As an automatedapproach, this paper explains a sparql query based matching engine developed during the Columns-Property Annotation (CPA) Challenge under ISWC 2020 SemTab challenge (Semantic Web Challenge on TabularData to Knowledge Graph Matching). The proposed approach utilizesa text correction via different knowledge base services/libraries as wellas numeric interval definitions to identify negligible numeric differences.The approach (submitted as TeamTR) achived, in the CPA task, F1-scores of 0.916. 0.873 and 0.837 in Rounds 1, 2 and 3, respectively.
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Published date: 2020
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2020 Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2020, Virtual, 2020-11-05 - 2020-11-05
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Local EPrints ID: 478677
URI: http://eprints.soton.ac.uk/id/eprint/478677
ISSN: 1613-0073
PURE UUID: 21fc8659-2f61-4966-a8e4-9af0b9b42303
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Date deposited: 07 Jul 2023 16:31
Last modified: 17 Mar 2024 02:35
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Author:
S. Yumusak
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