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Formal Concept Analysis in Information Science
 ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY
, 1996
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A ContextualLogic Extension of TOSCANA
, 2000
"... The aim of this paper is to indicate how TOSCANA may be extended to allow graphical representations not only of concept lattices but also of concept graphs in the sense of Contextual Logic. The contextuallogic extension of TOSCANA requires the logical scaling of conceptual and relational scales ..."
Abstract

Cited by 11 (3 self)
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The aim of this paper is to indicate how TOSCANA may be extended to allow graphical representations not only of concept lattices but also of concept graphs in the sense of Contextual Logic. The contextuallogic extension of TOSCANA requires the logical scaling of conceptual and relational scales for which we propose the Peircean Algebraic Logic as reconstructed by R. W. Burch. As graphical representations we recommend, besides labelled line diagrams of concept lattices and Sowa's diagrams of conceptual graphs, particular information maps for utilizing background knowledge as much as possible. Our considerations are illustrated by a small information system about the domestic ights in Austria.
Mathematical Logic with Diagrams  Based on the Existential Graphs of Peirce
"... Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 The Purpose and the Structure of this Treatise . . . . . . . . . . . . . . 3 2 Short Introduction to Existential Graphs . . . . . . . . . . . . . . . . . . 7 2.1 Alpha . . . . ..."
Abstract

Cited by 7 (7 self)
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Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 The Purpose and the Structure of this Treatise . . . . . . . . . . . . . . 3 2 Short Introduction to Existential Graphs . . . . . . . . . . . . . . . . . . 7 2.1 Alpha . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.2 Beta . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.3 Gamma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 3 Theory of Signs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.1 Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.2 Icons, Indices, Symbols . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.3 Types and Tokens, Signs and Replicas . . . . . . . . . . .
Formal Concept Analysis on its Way from Mathematics to Computer Science
 Proc. 10th Intl. Conf. on Conceptual Structures (ICCS 2002). LNCS
, 2002
"... In the last years, the main orientation of Formal Concept Analysis (FCA) has turned from mathematics towards computer science. ..."
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Cited by 7 (1 self)
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In the last years, the main orientation of Formal Concept Analysis (FCA) has turned from mathematics towards computer science.
Relational Constructions on Semiconcept Graphs
"... The aim of the paper is to develop a logic of relations on semiconcept graphs corresponding to the Contextual Logic of Relations on power context families. Semiconcept graphs allow the representation of negations. The operations from Peircean Algebraic Logic (i.e., the operations of relation algebra ..."
Abstract

Cited by 4 (0 self)
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The aim of the paper is to develop a logic of relations on semiconcept graphs corresponding to the Contextual Logic of Relations on power context families. Semiconcept graphs allow the representation of negations. The operations from Peircean Algebraic Logic (i.e., the operations of relation algebras of power context families) are used to generate compound semiconcepts (or relations, resp.). For an arbitrary (semi)concept graph, most specific semiconcept graphs are constructed where a compound semiconcept is assigned to each of the edges, i.e. compound semiconcepts are constructed directly on semiconcept graphs independent of the corresponding power context family. Contents 1.
Conceptual knowledge discovery â€“ a humancentered approach
 Journal of Applied Artificial Intelligence
"... In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge Processing. Conceptual Knowledge Processing is based on the mathematical theory of Formal Concept Analysis which has become a successful theory for data analysis durin ..."
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Cited by 4 (1 self)
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In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge Processing. Conceptual Knowledge Processing is based on the mathematical theory of Formal Concept Analysis which has become a successful theory for data analysis during the last two decades. CKDD aims to support a humancentered process of discovering knowledge from data by visualizing and analyzing the conceptual structure of the data. We dicuss how the management system TOSCANA for conceptual information systems supports CKDD, and illustrate it by two applications in database marketing and flight movement analysis. Finally, we present a new tool for conceptual deviation discovery, Chianti. 1