Papers › KGCODE-Tab Results for SemTab 2022

KGCODE-Tab Results for SemTab 2022

25 Oct 2022SemTab@ISWC 2022 10archive 2025-07-28

Xinhe Li, Shuxin Wang, Wei Zhou, Gongrui Zhang, Chenghuan Jiang, Tianyu Hong and Peng Wang

This paper presents the results of KGCODE-Tab in the tabular data to knowledge graph matching contest SemTab 2022. As an efficient tabular data linking system, KGCODE-Tab is intended to participate in three tasks of the content: Column Type Annotation (CTA), Cell Entity Annotation (CEA), and Columns Property Annotation (CPA). The specific techniques used by KGCODE-Tab will be introduced briefly. The strengths and weaknesses of KGCODE-Tab will also be discussed.

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Tasks

Cell Entity AnnotationColumn Type AnnotationColumns Property AnnotationGraph Matching

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Cell Entity Annotation BiodivTab KGCODE-Tab F1 (%) 91.1 #1 of 5 Archive leaderboard report
Cell Entity Annotation ToughTables-DBP KGCODE-Tab F1 (%) 82.7 #2 of 5 Archive leaderboard report
Column Type Annotation BiodivTab KGCODE-Tab F1 (%) 86.7 #1 of 6 Archive leaderboard report
Column Type Annotation GitTables-SemTab-DBP KGCODE-Tab F1 (%) 58.7 #1 of 3 Archive leaderboard report
Column Type Annotation GitTables-SemTab-SCH KGCODE-Tab F1 (%) 69.3 #1 of 2 Archive leaderboard report
Column Type Annotation ToughTables-DBP KGCODE-Tab F1 (%) 48 #1 of 6 Archive leaderboard report
Column Type Annotation ToughTables-WD KGCODE-Tab F1 (%) 54.3 #4 of 5 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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