# Wembedder: Wikidata entity embedding web service

arXiv: https://arxiv.org/abs/1710.04099 · HTML: https://mlsanity.com/paper/1710.04099/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Oct 2017.

## Built on by (most cited first, 3 of 3)

- [Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN](https://mlsanity.com/paper/2603.15892/) (2026)
- [KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles](https://mlsanity.com/paper/2211.03199/) (2022)
- [A Practical Entity Linking System for Tables in Scientific Literature](https://mlsanity.com/paper/2306.10044/) (2023)

## Abstract (arXiv)

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.