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.
%0 Conference Paper
%1 10.1007/978-3-030-77867-5_11
%A Felde, Maximilian
%A Stumme, Gerd
%B Formal Concept Analysis
%C Cham
%D 2021
%E Braud, Agnès
%E Buzmakov, Aleksey
%E Hanika, Tom
%E Le Ber, Florence
%I Springer International Publishing
%K 2021 attribute-exploration fca itegpub myown
%P 175--191
%R 10.1007/978-3-030-77867-5_11
%T Triadic Exploration and Exploration with Multiple Experts
%X 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.
%@ 978-3-030-77867-5
@inproceedings{10.1007/978-3-030-77867-5_11,
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.},
added-at = {2022-01-11T12:55:34.000+0100},
address = {Cham},
author = {Felde, Maximilian and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/20dd5cd77298c87ef93b7ee999b093a80/stumme},
booktitle = {Formal Concept Analysis},
doi = {10.1007/978-3-030-77867-5_11},
editor = {Braud, Agn{\`e}s and Buzmakov, Aleksey and Hanika, Tom and Le Ber, Florence},
interhash = {8aa516de3a46a16962b906599b54afe3},
intrahash = {0dd5cd77298c87ef93b7ee999b093a80},
isbn = {978-3-030-77867-5},
keywords = {2021 attribute-exploration fca itegpub myown},
pages = {175--191},
publisher = {Springer International Publishing},
timestamp = {2022-02-15T13:00:00.000+0100},
title = {Triadic Exploration and Exploration with Multiple Experts},
year = 2021
}