Attribute Exploration with Multiple Contradicting Partial Experts
Artificial Intelligence
2022-09-21 v1
Abstract
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.
Cite
@article{arxiv.2205.15714,
title = {Attribute Exploration with Multiple Contradicting Partial Experts},
author = {Maximilian Felde and Gerd Stumme},
journal= {arXiv preprint arXiv:2205.15714},
year = {2022}
}
Comments
22 pages (14 pages + 8 pages appendix)