Papers › DAGOBAH: Table and Graph Contexts for Efficient Semantic Annotation of Tabular Data

DAGOBAH: Table and Graph Contexts for Efficient Semantic Annotation of Tabular Data

1 Oct 2021Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference 2021 10archive 2025-07-28

Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin, Raphaël Troncy

In this paper, we present the latest improvements of the DAGOBAH system that performs automatic pre-processing and semantic interpretation of tables. In particular, we report promising results obtained in the SemTab 2021 challenge thanks to optimisations in lookup mechanisms and new techniques for studying the context of nodes in the target knowledge graph. We also present the deployment of DAGOBAH algorithms within the Orange company via the TableAnnotation API and a front-end DAGOBAH user interface. These two access methods enable to accelerate the adoption of Semantic Table Interpretation solutions within the company to meet industrial needs.

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Tasks

Cell Entity AnnotationColumn Type AnnotationTable annotation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Cell Entity Annotation BiodivTab DAGOBAH F1 (%) 62 #3 of 5 Archive leaderboard report
Cell Entity Annotation ToughTables-DBP DAGOBAH F1 (%) 94.5 #1 of 5 Archive leaderboard report
Cell Entity Annotation ToughTables-WD DAGOBAH F1 (%) 92.3 #3 of 5 Archive leaderboard report
Column Type Annotation BiodivTab DAGOBAH F1 (%) 34.4 #4 of 6 Archive leaderboard report
Column Type Annotation GitTables-SemTab-DBP DAGOBAH F1 (%) 7.00 #2 of 3 Archive leaderboard report
Column Type Annotation GitTables-SemTab-SCH DAGOBAH F1 (%) 18.3 #2 of 2 Archive leaderboard report
Column Type Annotation ToughTables-DBP DAGOBAH F1 (%) 42.2 #3 of 6 Archive leaderboard report
Column Type Annotation ToughTables-WD DAGOBAH F1 (%) 83.2 #1 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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