# A Repository for Formal Contexts

arXiv: https://arxiv.org/abs/2404.04344 · HTML: https://mlsanity.com/paper/2404.04344/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 27 references that are in the map.
- First posted on arXiv 5 Apr 2024.

## Builds on (most cited first, 1 of 1)

- [OpenML: networked science in machine learning](https://mlsanity.com/paper/1407.7722/) (2014)

## Built on by (most cited first, 1 of 1)

- [Rises for Measuring Local Distributivity in Lattices](https://mlsanity.com/paper/2506.23168/) (2025)

## Abstract (arXiv)

Data is always at the center of the theoretical development and investigation of the applicability of formal concept analysis. It is therefore not surprising that a large number of data sets are repeatedly used in scholarly articles and software tools, acting as de facto standard data sets. However, the distribution of the data sets poses a problem for the sustainable development of the research field. There is a lack of a central location that provides and describes FCA data sets and links them to already known analysis results. This article analyses the current state of the dissemination of FCA data sets, presents the requirements for a central FCA repository, and highlights the challenges for this.