{"url":"/task/ontology-matching","name":"Ontology Matching","slug":"ontology-matching","description_markdown":null,"categories":[{"name":"Knowledge Base","url":"/area/knowledge-base"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":51,"papers_with_code":14,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/aiseckg","name":"AISECKG","full_name":"AISecKG: Knowledge Graph Dataset for Cybersecurity Education","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":14,"of":14,"tagged_in_all":51,"items":[{"url":"/paper/agent-om-leveraging-large-language-models-for","title":"Agent-OM: Leveraging LLM Agents for Ontology Matching","date":"2023-12-01","arxiv_id":"2312.00326","repositories_listed":2,"syntology":null},{"url":"/paper/machine-learning-friendly-biomedical-datasets","title":"Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching","date":"2022-05-06","arxiv_id":"2205.03447","repositories_listed":2,"syntology":null},{"url":"/paper/how-does-a-text-preprocessing-pipeline-affect","title":"How Does A Text Preprocessing Pipeline Affect Ontology Syntactic Matching?","date":"2024-11-06","arxiv_id":"2411.03962","repositories_listed":1,"syntology":null},{"url":"/paper/llms4om-matching-ontologies-with-large","title":"LLMs4OM: Matching Ontologies with Large Language Models","date":"2024-04-16","arxiv_id":"2404.10317","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/matching-weak-informative-ontologies","title":"Matching Weak Informative Ontologies","date":"2023-12-01","arxiv_id":"2312.00332","repositories_listed":1,"syntology":null},{"url":"/paper/contextualized-structural-self-supervised","title":"Contextualized Structural Self-supervised Learning for Ontology Matching","date":"2023-10-05","arxiv_id":"2310.03840","repositories_listed":1,"syntology":null},{"url":"/paper/truveta-mapper-a-zero-shot-ontology-alignment","title":"Truveta Mapper: A Zero-shot Ontology Alignment Framework","date":"2023-01-24","arxiv_id":"2301.09767","repositories_listed":1,"syntology":null},{"url":"/paper/ontology-matching-through-absolute","title":"Ontology Matching Through Absolute Orientation of Embedding Spaces","date":"2022-04-08","arxiv_id":"2204.04040","repositories_listed":1,"syntology":null},{"url":"/paper/bertmap-a-bert-based-ontology-alignment","title":"BERTMap: A BERT-based Ontology Alignment System","date":"2021-12-05","arxiv_id":"2112.02682","repositories_listed":1,"syntology":null},{"url":"/paper/aligning-hyperbolic-representations-an","title":"Aligning Hyperbolic Representations: an Optimal Transport-based approach","date":"2020-12-02","arxiv_id":"2012.01089","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/dividing-the-ontology-alignment-task-with","title":"Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules","date":"2020-02-25","arxiv_id":"2003.05370","repositories_listed":1,"syntology":null},{"url":"/paper/breaking-down-the-ontology-alignment-task","title":"Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings","date":"2018-05-31","arxiv_id":"1805.12402","repositories_listed":1,"syntology":null},{"url":"/paper/multilingual-ontology-matching-based-on","title":"Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint","date":"2011-09-04","arxiv_id":"1109.0732","repositories_listed":1,"syntology":null},{"url":"/paper/related-terms-search-based-on-wordnet","title":"Related terms search based on WordNet / Wiktionary and its application in Ontology Matching","date":"2009-07-13","arxiv_id":"0907.2209","repositories_listed":1,"syntology":null}],"syntology_records":2,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}