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The inescapable relativity of explicitly represented knowledge: an FCA perspective

Published

Author(s)

David W. Flater

Abstract

Knowledge models are supposed to capture knowledge of lasting value in a reusable form. However, reuse of these models is hampered by arbitrary and application-specific constraints; any constraints that conflict with a new application must be altered or removed before the models can be reused. This article explores seven facets of conceptual relativity that would impact the use of Formal Concept Analysis formalisms to represent knowledge, demonstrating that the capture of application-specific constraints is inextricable from the modelling process.
Proceedings Title
LNCS/LNAI Foundations of Intelligent Systems, Proceedings of ISMIS 2017
Conference Dates
June 26-29, 2017
Conference Location
Warsaw
Conference Title
23rd International Symposium on Methodologies for Intelligent Systems

Citation

Flater, D. (2017), The inescapable relativity of explicitly represented knowledge: an FCA perspective, LNCS/LNAI Foundations of Intelligent Systems, Proceedings of ISMIS 2017, Warsaw, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=923228 (Accessed June 17, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created June 14, 2017, Updated May 27, 2020