English

Wembedder: Wikidata entity embedding web service

Machine Learning 2017-10-12 v1 Computation and Language Machine Learning

Abstract

I present a web service for querying an embedding of entities in the Wikidata knowledge graph. The embedding is trained on the Wikidata dump using Gensim's Word2Vec implementation and a simple graph walk. A REST API is implemented. Together with the Wikidata API the web service exposes a multilingual resource for over 600'000 Wikidata items and properties.

Cite

@article{arxiv.1710.04099,
  title  = {Wembedder: Wikidata entity embedding web service},
  author = {Finn Årup Nielsen},
  journal= {arXiv preprint arXiv:1710.04099},
  year   = {2017}
}

Comments

3 pages, 2 figures

R2 v1 2026-06-22T22:10:19.280Z