Triadic Exploration and Exploration with Multiple Experts

TL;DR

This paper extends Formal Concept Analysis by introducing triadic exploration with multiple experts, enabling the discovery of domain dependencies considering conditions and diverse expert perspectives.

Contribution

It presents a novel approach combining triadic concept analysis with multiple expert inputs for attribute exploration in complex domains.

Findings

Developed a framework for triadic exploration with multiple experts

Enhanced attribute exploration to incorporate diverse expert views

Facilitated discovery of conditional attribute implications

Abstract

Formal Concept Analysis (FCA) provides a method called attribute exploration which helps a domain expert discover structural dependencies in knowledge domains that can be represented by a formal context (a cross table of objects and attributes). Triadic Concept Analysis is an extension of FCA that incorporates the notion of conditions. Many extensions and variants of attribute exploration have been studied but only few attempts at incorporating multiple experts have been made. In this paper we present triadic exploration based on Triadic Concept Analysis to explore conditional attribute implications in a triadic domain. We then adapt this approach to formulate attribute exploration with multiple experts that have different views on a domain.