On Ordinal Data Science and its role in Socially Acceptable ICTDesign
G. Stumme. page 181-198. Nomos, Baden-Baden, (2020)
Abstract
Comparing and ordering things is a basal ability of mankind for organizing its physical and social environment. While many hierarchical relationships can be derived from numerical measures like length or voltage, many others cannot appropriately be captured this way. We argue that the newly emerging field of data science up to now lacks engagement in developing analysis methods for such ordinal data. By the example of an already existing approach in this domain, Formal Concept Analysis, we will discuss its capabilities as a knowledge representation and argue – based on its philosophical foundations – why it is an important building block for socially acceptable IT design.
%0 Book Section
%1 stumme2020ordinal
%A Stumme, G.
%B Mensch – Technik – Umwelt: Verantwortung für eine sozialverträgliche Zukunft, Festschrift für Alexander Roßnagel zum 70. Geburtstag
%C Baden-Baden
%D 2020
%E Hentschel, A.
%E Hornung, G.
%E Jandt, S.
%I Nomos
%K 2020 fca itegpub kde kdepub myown
%P 181-198
%T On Ordinal Data Science and its role in Socially Acceptable ICTDesign
%X Comparing and ordering things is a basal ability of mankind for organizing its physical and social environment. While many hierarchical relationships can be derived from numerical measures like length or voltage, many others cannot appropriately be captured this way. We argue that the newly emerging field of data science up to now lacks engagement in developing analysis methods for such ordinal data. By the example of an already existing approach in this domain, Formal Concept Analysis, we will discuss its capabilities as a knowledge representation and argue – based on its philosophical foundations – why it is an important building block for socially acceptable IT design.
%@ 978-3-8487-7014-4
@inbook{stumme2020ordinal,
abstract = {Comparing and ordering things is a basal ability of mankind for organizing its physical and social environment. While many hierarchical relationships can be derived from numerical measures like length or voltage, many others cannot appropriately be captured this way. We argue that the newly emerging field of data science up to now lacks engagement in developing analysis methods for such ordinal data. By the example of an already existing approach in this domain, Formal Concept Analysis, we will discuss its capabilities as a knowledge representation and argue – based on its philosophical foundations – why it is an important building block for socially acceptable IT design.},
added-at = {2021-02-04T13:53:54.000+0100},
address = {Baden-Baden},
author = {Stumme, G.},
biburl = {https://www.bibsonomy.org/bibtex/27564ad3ff52d8e24077cf0e6be13d054/stumme},
booktitle = {Mensch – Technik – Umwelt: Verantwortung für eine sozialverträgliche Zukunft, Festschrift für Alexander Roßnagel zum 70. Geburtstag},
editor = {Hentschel, A. and Hornung, G. and Jandt, S.},
interhash = {ac5247e75df5d7d9952033b5240c9032},
intrahash = {7564ad3ff52d8e24077cf0e6be13d054},
isbn = {978-3-8487-7014-4},
keywords = {2020 fca itegpub kde kdepub myown},
pages = {181-198},
publisher = {Nomos},
timestamp = {2022-02-15T13:02:43.000+0100},
title = {On Ordinal Data Science and its role in Socially Acceptable ICTDesign},
year = 2020
}