{"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/matching-entities-across-different-knowledge","title":"Matching Entities Across Different Knowledge Graphs with Graph Embeddings","arxiv_id":"1903.06607","date":"2019-03-15","proceeding":null,"authors":["Michael Azmy","Peng Shi","Jimmy Lin","Ihab F. Ilyas"],"abstract":"This paper explores the problem of matching entities across different\nknowledge graphs. Given a query entity in one knowledge graph, we wish to find\nthe corresponding real-world entity in another knowledge graph. We formalize\nthis problem and present two large-scale datasets for this task based on\nexiting cross-ontology links between DBpedia and Wikidata, focused on several\nhundred thousand ambiguous entities. Using a classification-based approach, we\nfind that a simple multi-layered perceptron based on representations derived\nfrom RDF2Vec graph embeddings of entities in each knowledge graph is sufficient\nto achieve high accuracy, with only small amounts of training data. The\ncontributions of our work are datasets for examining this problem and strong\nbaselines on which future work can be based.","url_abs":"http://arxiv.org/abs/1903.06607v1","url_pdf":"http://arxiv.org/pdf/1903.06607v1.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":[{"paper_slug":"matching-entities-across-different-knowledge","repo_url":"https://github.com/MichaelAzmy/ambiguous-dbwd","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"}],"methods":[{"method_slug":"rdf2vec","method_name":"RDF2Vec"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}