# Linking ImageNet WordNet Synsets with Wikidata

arXiv: https://arxiv.org/abs/1803.04349 · HTML: https://mlsanity.com/paper/1803.04349/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Mar 2018.

## Built on by (most cited first, 4 of 4)

- [Visually Grounded Reasoning across Languages and Cultures](https://mlsanity.com/paper/2109.13238/) (2021)
- [Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations](https://mlsanity.com/paper/2306.08658/) (2023)
- [VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph](https://mlsanity.com/paper/2309.13610/) (2023)
- [Mapping Wordnets on the Fly with Permanent Sense Keys](https://mlsanity.com/paper/2303.01847/) (2023)

## Abstract (arXiv)

The linkage of ImageNet WordNet synsets to Wikidata items will leverage deep learning algorithm with access to a rich multilingual knowledge graph. Here I will describe our on-going efforts in linking the two resources and issues faced in matching the Wikidata and WordNet knowledge graphs. I show an example on how the linkage can be used in a deep learning setting with real-time image classification and labeling in a non-English language and discuss what opportunities lies ahead.