{"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/wembedder-wikidata-entity-embedding-web","title":"Wembedder: Wikidata entity embedding web service","arxiv_id":"1710.04099","date":"2017-10-11","proceeding":null,"authors":["Finn Årup Nielsen"],"abstract":"I present a web service for querying an embedding of entities in the Wikidata\nknowledge graph. The embedding is trained on the Wikidata dump using Gensim's\nWord2Vec implementation and a simple graph walk. A REST API is implemented.\nTogether with the Wikidata API the web service exposes a multilingual resource\nfor over 600'000 Wikidata items and properties.","url_abs":"http://arxiv.org/abs/1710.04099v1","url_pdf":"http://arxiv.org/pdf/1710.04099v1.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":"wembedder-wikidata-entity-embedding-web","repo_url":"https://github.com/fnielsen/wembedder","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}