Data is always at the center of the theoretical development and investigation of the applicability of formal concept analysis. It is therefore not surprising that a large number of data sets are repeatedly used in scholarly articles and software tools, acting as de facto standard data sets. However, the distribution of the data sets poses a problem for the sustainable development of the research field. There is a lack of a central location that provides and describes FCA data sets and links them to already known analysis results. This article analyses the current state of the dissemination of FCA data sets, presents the requirements for a central FCA repository, and highlights the challenges for this.
%0 Conference Paper
%1 hanika2024repository
%A Hanika, Tom
%A Jäschke, Robert
%B Conceptual Knowledge Structures
%C Cham
%D 2024
%E Cabrera, Inma P.
%E Ferré, Sébastien
%E Obiedkov, Sergei
%I Springer Nature Switzerland
%K 2024 analysis concept data dataset fca formal myown repository research
%N 14914
%P 182--197
%R 10.1007/978-3-031-67868-4_13
%T A Repository for Formal Contexts
%X Data is always at the center of the theoretical development and investigation of the applicability of formal concept analysis. It is therefore not surprising that a large number of data sets are repeatedly used in scholarly articles and software tools, acting as de facto standard data sets. However, the distribution of the data sets poses a problem for the sustainable development of the research field. There is a lack of a central location that provides and describes FCA data sets and links them to already known analysis results. This article analyses the current state of the dissemination of FCA data sets, presents the requirements for a central FCA repository, and highlights the challenges for this.
%@ 978-3-031-67868-4
@inproceedings{hanika2024repository,
abstract = {Data is always at the center of the theoretical development and investigation of the applicability of formal concept analysis. It is therefore not surprising that a large number of data sets are repeatedly used in scholarly articles and software tools, acting as de facto standard data sets. However, the distribution of the data sets poses a problem for the sustainable development of the research field. There is a lack of a central location that provides and describes FCA data sets and links them to already known analysis results. This article analyses the current state of the dissemination of FCA data sets, presents the requirements for a central FCA repository, and highlights the challenges for this.},
added-at = {2024-08-07T16:41:06.000+0200},
address = {Cham},
author = {Hanika, Tom and Jäschke, Robert},
biburl = {https://www.bibsonomy.org/bibtex/20d5c2a7abd85de8aa325c739277bfa34/jaeschke},
booktitle = {Conceptual Knowledge Structures},
description = {A Repository for Formal Contexts | SpringerLink},
doi = {10.1007/978-3-031-67868-4_13},
editor = {Cabrera, Inma P. and Ferré, Sébastien and Obiedkov, Sergei},
interhash = {a0e0a088deeffb98b9fc52780d8caa11},
intrahash = {0d5c2a7abd85de8aa325c739277bfa34},
isbn = {978-3-031-67868-4},
keywords = {2024 analysis concept data dataset fca formal myown repository research},
number = 14914,
pages = {182--197},
publisher = {Springer Nature Switzerland},
series = {Lecture Notes in Artificial Intelligence},
timestamp = {2024-08-07T16:44:05.000+0200},
title = {A Repository for Formal Contexts},
year = 2024
}