Conceptual Structures: Logical, Linguistic, and Computational Issues

@inproceedings{Ganter2000ConceptualSL,
  title={Conceptual Structures: Logical, Linguistic, and Computational Issues},
  author={Bernhard Ganter and Guy W. Mineau},
  booktitle={Lecture Notes in Computer Science},
  year={2000}
}
We generally think of conceptual structures (and their mathematical representations: conceptual graphs) as a technical framework providing a sound basis for research and design work in knowledge representation and related areas of computer science. In this article, I suggest that conceptual structure predates computer science by some three-million years. In particular, I argue that the human brain (or rather, the brain of our hominid ancestors) acquired conceptual structure long before it… 

Distinctions Produce a Taxonomic Lattice: Are These the Units of Mentalese?

TLDR
The novel aspect of the method is that distinctions that are only meaningful in the context of other distinctions restrict the lattice of concepts to the meaningful subset.

From Formal Concept Analysis to Contextual Logic

A main goal of Formal Concept Analysis from its very beginning has been the support of rational communication. The source of this goal lies in the understanding of mathematics as a science which

Formal Concept Analysis as Mathematical Theory of Concepts and Concept Hierarchies

  • R. Wille
  • Philosophy
    Formal Concept Analysis
  • 2005
TLDR
The main concern of this paper is to show the surprisingly rich correspondences between Seiler's multifarious aspects of concepts in the human mind and the structural properties and relationships of formal concepts in Formal Concept Analysis.

Representing Time and Modality in Narratives with Conceptual Graphs

TLDR
This paper analyzes the temporal structure of two short narratives and represents the structure using branching time models and Conceptual Graphs, and argues that the suggested CG representation is in fact more in accordance with Prior's approach to time than Prior’s own idea of branching time.

Semantology as Basis for Conceptual Knowledge Processing

TLDR
It is the main aim of this paper to explain and demonstrate that semantic structures are in fact basic for conceptual knowledge processing which comprises activities such as representing, infering, acquiring, and communicating conceptual knowledge.

Conceptual Contents as Information - Basics for Contextual Judgment Logic

TLDR
The main result of this paper is that the conceptual contents can be derived as extents of the so-called conceptual information context of the corresponding power context family.

Temporal Relational Semantic Systems

TLDR
The notion of a TRSS is introduced as a relational extension of a Temporal Conceptual Semantic System as defined by the author in 2007 to provide a clear theoretical notion of the state of a temporal relation at some time granule.

Relational Scaling in Relational Semantic Systems

TLDR
This paper introduces the notion of a concept graph of a RSS, and modify tools from Temporal Concept Analysis and develop relational trace diagrams for the graphical representation of relational knowledge in information maps.

Conceptual Knowledge Processing: Theory and Practice

TLDR
The main content of this contribution is a discussion of the practice of Conceptual Knowledge Processing which demonstrates for twelve selected general acts of thinking how they can be successfully applied by using different methods of Conceptually Knowledge Processing.

A Triadic Model of Information Flow

This paper combines aspects of formal concept analysis, Barwise & Seligman’s information flow theory and a Peircean notion of triadic signs. The goal of the paper is to formalize a model of
...

References

SHOWING 1-10 OF 24 REFERENCES

A Net Structure for Semantic Information Storage, Deduction and Retrieval

TLDR
A data structure, MENS (MEmory Net Structure), that is useful for storing semantic information stemming from a natural language, and a system that interacts with a user, stores information into and retrieves information from MENS and interprets some information in MENS as rules telling it how to deduce new information from what is already stored.

Simple Concept Graphs: A Logic Approach

TLDR
Conceptual Graphs and Formal Concept Analysis are combined by developing a logical theory for concept graphs of relational contexts and a standard graph is introduced that entails all concept graphs being valid in a given relational context.

Conceptual Structures: Information Processing in Mind and Machine

  • J. Sowa
  • Psychology, Computer Science
  • 1983
TLDR
This book will not become a unity of the way for you to get amazing benefits at all, but, it will serve something that will let you get the best time and moment to spend for reading the book.

Two FOL Semantics for Simple and Nested Conceptual Graphs

TLDR
Another FOL semantics for Simple Conceptual Graphs corresponding to a slightly different interpretation of a Conceptual graph is proposed, and soundness and completeness of the projection with respect to this semantics are true without any restriction.

The Lattice of Concept Graphs of a Relationally Scaled Context

TLDR
It is proved that the concept graphs of a power context family form a lattice which can be described as a subdirect product of specific intervals of the concept lattices of the power context fajnily (each extended by a new top-element).

Integrating Knowledge-based Hypertext and Database for Task-oriented Access to Documents

TLDR
This work focuses on a full integration of database, knowledge-based system and hypertext techniques to provide task-oriented-access to documents to deal with huge technical document bases.

Représenter des connaissances et raisonner avec des graphes

We briefly present our point of view about conceptual graphs: graphs with ordered labels - for representing knowledge - with graph operations - for reasoning. We propose a formalism for simple

The Concept Classification of a Terminology Extended by Conjunction and Disjunction

Auch erschienen in: Foo, Norman u.a. (Hrsg.): PRICAI '96: topics in artificial intelligence. (Lecture notes in computer science ; 1114). Berlin u.a. : Springer, 1996. S. 121-131. ISBN 3-540-61532-6

TOSCANA - a Graphical Tool for Analyzing and Exploring Data

TOSCANA is a computer program which allows an online interaction with larger data bases to analyse and explore data conceptually. It uses labelled line diagrams of concept lattices to communicate