{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dagobah-table-and-graph-contexts-for","title":"DAGOBAH: Table and Graph Contexts for Efficient Semantic Annotation of Tabular Data","arxiv_id":null,"date":"2021-10-01","proceeding":"Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference 2021 10","authors":["Viet-Phi Huynh","Jixiong Liu","Yoan Chabot","Frédéric Deuzé","Thomas Labbé","Pierre Monnin","Raphaël Troncy"],"abstract":"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.","url_abs":"https://www.eurecom.fr/fr/publication/6842","url_pdf":"http://ceur-ws.org/Vol-3103/paper2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"cell-entity-annotation","task_name":"Cell Entity Annotation"},{"task_slug":"column-type-annotation","task_name":"Column Type Annotation"},{"task_slug":"table-annotation","task_name":"Table annotation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/cell-entity-annotation-on-biodivtab","task":"Cell Entity Annotation","dataset":"BiodivTab","model":"DAGOBAH","rank_in_archive_order":3,"of":5,"metrics":{"F1 (%)":"62"},"uses_additional_data":false},{"leaderboard":"/sota/cell-entity-annotation-on-toughtables-dbp","task":"Cell Entity Annotation","dataset":"ToughTables-DBP","model":"DAGOBAH","rank_in_archive_order":1,"of":5,"metrics":{"F1 (%)":"94.5"},"uses_additional_data":false},{"leaderboard":"/sota/cell-entity-annotation-on-toughtables-wd","task":"Cell Entity Annotation","dataset":"ToughTables-WD","model":"DAGOBAH","rank_in_archive_order":3,"of":5,"metrics":{"F1 (%)":"92.3"},"uses_additional_data":false},{"leaderboard":"/sota/column-type-annotation-on-biodivtab","task":"Column Type Annotation","dataset":"BiodivTab","model":"DAGOBAH","rank_in_archive_order":4,"of":6,"metrics":{"F1 (%)":"34.4"},"uses_additional_data":false},{"leaderboard":"/sota/column-type-annotation-on-gittables-semtab","task":"Column Type Annotation","dataset":"GitTables-SemTab-DBP","model":"DAGOBAH","rank_in_archive_order":2,"of":3,"metrics":{"F1 (%)":"7.00"},"uses_additional_data":false},{"leaderboard":"/sota/column-type-annotation-on-gittables-semtab-1","task":"Column Type Annotation","dataset":"GitTables-SemTab-SCH","model":"DAGOBAH","rank_in_archive_order":2,"of":2,"metrics":{"F1 (%)":"18.3"},"uses_additional_data":false},{"leaderboard":"/sota/column-type-annotation-on-toughtables-dbp","task":"Column Type Annotation","dataset":"ToughTables-DBP","model":"DAGOBAH","rank_in_archive_order":3,"of":6,"metrics":{"F1 (%)":"42.2"},"uses_additional_data":false},{"leaderboard":"/sota/column-type-annotation-on-toughtables-wd","task":"Column Type Annotation","dataset":"ToughTables-WD","model":"DAGOBAH","rank_in_archive_order":1,"of":5,"metrics":{"F1 (%)":"83.2"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}