{"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/semantic-annotation-of-tabular-data-for","title":"Semantic Annotation of Tabular Data for Machine-to-Machine Interoperability via Neuro-Symbolic Anchoring","arxiv_id":null,"date":"2023-11-20","proceeding":"SemTab@ISWC 2023 11","authors":["Shervin Mehryar","Remzi Celebi"],"abstract":"In this paper we investigate automated annotation of tabular data using semantic technologies in combination with neural network embedding. Specifically, we propose an anchoring model in which property and cell types from the data embedding space are aligned with ontology relation and entity types. We show that by combining the power of symbolic reasoning, neural embeddings, and loss function design, a significant performance improvement as high as 86% for column property, 82% for column type, and 87% for column qualifier annotations can be achieved based on DBpedia and Wikidata table extractions.","url_abs":"https://ceur-ws.org/Vol-3557/paper5.pdf","url_pdf":"https://ceur-ws.org/Vol-3557/paper5.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":"column-type-annotation","task_name":"Column Type Annotation"},{"task_slug":"columns-property-annotation","task_name":"Columns Property Annotation"},{"task_slug":"network-embedding","task_name":"Network Embedding"}],"methods":[{"method_slug":"ontology","method_name":"Ontology"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/column-type-annotation-on-wdc-sotab-v2","task":"Column Type Annotation","dataset":"WDC SOTAB V2","model":"MUT2KG","rank_in_archive_order":5,"of":5,"metrics":{"Micro F1":"32.01"},"uses_additional_data":false},{"leaderboard":"/sota/columns-property-annotation-on-wdc-sotab-v2","task":"Columns Property Annotation","dataset":"WDC SOTAB V2","model":"MUT2KG","rank_in_archive_order":2,"of":4,"metrics":{"Micro F1":"79.35"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}