Attribute Exploration with Multiple Contradicting Partial Experts

Maximilian Felde; Gerd Stumme

doi:10.1007/978-3-031-16663-1_5

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arXiv · 2205.15714

Attribute Exploration with Multiple Contradicting Partial Experts

Maximilian Felde·Gerd Stumme

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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.

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Maximilian Felde, Gerd Stumme. 2022-05-31. Attribute Exploration with Multiple Contradicting Partial Experts. https://doi.org/10.1007/978-3-031-16663-1_5

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