{"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/results-of-semtab-2022","title":"Results of SemTab 2022","arxiv_id":null,"date":"2022-10-25","proceeding":"SemTab@ISWC 2022 10","authors":["Nora Abdelmageed","Jiaoyan Chen","Vincenzo Cutrona","Vasilis Efthymiou","Oktie Hassanzadeh","Madelon Hulsebos","Ernesto Jiménez-Ruiz","Juan Sequeda","Kavitha Srinivas"],"abstract":"SemTab 2022 was the fourth edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 21st International Semantic Web Conference (ISWC) and the 17th Ontology Matching (OM) Workshop. SemTab provides a common framework to conduct a systematic evaluation of state-of-the-art systems. In this paper, we give an overview of the 2022’s edition of the challenge and summarize the results.","url_abs":"https://www.semanticscholar.org/paper/Results-of-SemTab-2022-Abdelmageed-Chen/64dfbc1da6ad7402a6365c3e41667069a63599a6","url_pdf":"https://ceur-ws.org/Vol-3320/paper0.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":"graph-matching","task_name":"Graph Matching"},{"task_slug":"ontology-matching","task_name":"Ontology Matching"}],"methods":[{"method_slug":"ontology","method_name":"Ontology"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/cell-entity-annotation-on-toughtables-wd","task":"Cell Entity Annotation","dataset":"ToughTables-WD","model":"s-elBat","rank_in_archive_order":2,"of":5,"metrics":{"F1 (%)":"93.8"},"uses_additional_data":false},{"leaderboard":"/sota/column-type-annotation-on-toughtables-dbp","task":"Column Type Annotation","dataset":"ToughTables-DBP","model":"s-elBat","rank_in_archive_order":5,"of":6,"metrics":{"F1 (%)":"36.6"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}