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and how FCA and computer science attracted each other. It discusses FCA as a knowledge representation formalism using five knowledge representation principles provided by Davis, Shrobe, and Szolovits (1993). It then studies how and why mathematics-based researchers got attracted by computer science. | and how FCA and computer science attracted each other. It discusses FCA as a knowledge representation formalism using five knowledge representation principles provided by Davis, Shrobe, and Szolovits (1993). It then studies how and why mathematics-based researchers got attracted by computer science. | ||
We will argue for continuing this trend by integrating the two research areas FCA and Ontology Engineering. | We will argue for continuing this trend by integrating the two research areas FCA and Ontology Engineering. | ||
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|Download=2002_93_Stumme_Formal_Concept__1.ps | |Download=2002_93_Stumme_Formal_Concept__1.ps | ||
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Aktuelle Version vom 24. September 2009, 15:47 Uhr
Formal Concept Analysis on its Way from Mathematics to Computer Science
Formal Concept Analysis on its Way from Mathematics to Computer Science
Published: 2002
Herausgeber: U. Priss, D. Corbett, G. Angelova (eds.)
Buchtitel: Conceptual Structures: Integration and Interfaces, Proc. ICCS 2002
Reihe: LNAI
Seiten: 2-19
Verlag: Springer
Referierte Veröffentlichung
BibTeX
Kurzfassung
In the last years, the main orientation of Formal Concept Analysis (FCA) has turned from mathematics towards computer science. This article provides a review of this new orientation and analyzes why
and how FCA and computer science attracted each other. It discusses FCA as a knowledge representation formalism using five knowledge representation principles provided by Davis, Shrobe, and Szolovits (1993). It then studies how and why mathematics-based researchers got attracted by computer science.
We will argue for continuing this trend by integrating the two research areas FCA and Ontology Engineering.
Download: Media:2002_93_Stumme_Formal_Concept__1.ps