# Attribute Exploration with Multiple Contradicting Partial Experts

arXiv: https://arxiv.org/abs/2205.15714 · HTML: https://mlsanity.com/paper/2205.15714/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 19 references that are in the map.
- First posted on arXiv 31 May 2022.

## Builds on (most cited first, 3 of 3)

- [Towards Collaborative Conceptual Exploration](https://mlsanity.com/paper/1712.08858/) (2017)
- [Interactive Collaborative Exploration using Incomplete Contexts](https://mlsanity.com/paper/1908.08740/) (2019)
- [Triadic Exploration and Exploration with Multiple Experts](https://mlsanity.com/paper/2102.02654/) (2021)

## Abstract (arXiv)

Attribute exploration is a method from Formal Concept Analysis (FCA) that helps a domain expert discover structural dependencies in knowledge domains which can be represented as formal contexts (cross tables of objects and attributes). In this paper we present an extension of attribute exploration that allows for a group of domain experts and explores their shared views. Each expert has their own view of the domain and the views of multiple experts may contain contradicting information.