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Conceptual Structures: Fulfilling Peirce's Dream

Overview of attention for book
Conceptual Structures: Fulfilling Peirce's Dream
Springer, Berlin, Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fulfilling Peirce's dream: Conceptual structures and communities of inquiry
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    Chapter 2 The representation of semantic constraints in conceptual graph systems
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    Chapter 3 Representation of defaults and exceptions in conceptual graphs formalism
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    Chapter 4 Introduction of viewpoints in conceptual graph formalism
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    Chapter 5 Task-dependent aspects of knowledge acquisition: A case study in a technical domain
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    Chapter 6 Uncovering the conceptual models in ripple down rules
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    Chapter 7 Knowledge modeling using annotated flow chart
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    Chapter 8 Complex modelling constructs in MODEL-ECS
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    Chapter 9 Modeling cause and effect in legal text
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    Chapter 10 Information systems modeling with CGs logic
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    Chapter 11 Modelling and simulating human behaviours with conceptual graphs
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    Chapter 12 Peirce's graphs
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    Chapter 13 Conceptual graphs and formal concept analysis
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    Chapter 14 How triadic diagrams represent conceptual structures
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    Chapter 15 Concept exploration — A tool for creating and exploring conceptual hierarchies
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    Chapter 16 Logical scaling in formal concept analysis
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    Chapter 17 Organization of knowledge using order factors
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    Chapter 18 C. S. Peirce and the quest for gamma graphs
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    Chapter 19 A sound and complete CG proof procedure combining projections with analytic tableaux
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    Chapter 20 Fuzzy unification and resolution proof procedure for fuzzy conceptual graph programs
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    Chapter 21 Reasoning with type definitions
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    Chapter 22 Universal marker and functional relation: Semantics and operations
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    Chapter 23 A pragmatic understanding of “knowing that” and “knowing how”: The pivotal role of conceptual structures
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    Chapter 24 Animating conceptual graphs
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    Chapter 25 Accounting for domain knowledge in the construction of a generalization space
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    Chapter 26 Rational and affective linking across conceptual cases — without rules
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    Chapter 27 Conceptual graphs for corporate knowledge repositories
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    Chapter 28 An experiment in document retrieval using conceptual graphs
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    Chapter 29 PORT: A testbed paradigm for knowledge processing in the humanities
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    Chapter 30 Using access paths to guide inference with conceptual graphs
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    Chapter 31 Applying conceptual graph theory to the user-driven specification of network information systems
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    Chapter 32 Generic trading service in telecommunication platforms
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    Chapter 33 Assessing sowa's conceptual graphs for effective strategic management decisions, based on a comparative study with eden's cognitive mapping
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    Chapter 34 Peircean foundations for a theory of context
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    Chapter 35 CGKAT: A knowledge acquisition and retrieval tool using structured documents and ontologies
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    Chapter 36 The WebKB set of tools: A common scheme for shared WWW annotations, shared knowledge bases and information retrieval
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    Chapter 37 Deakin toolset: Conceptual graphs based knowledge acquisition, management, and processing tools
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    Chapter 38 EGP: Extendible graph processor
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    Chapter 39 CGKEE: Conceptual graph knowledge engineering environment
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    Chapter 40 Menu-based interfaces to conceptual graphs: The CGLex approach
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    Chapter 41 Knowledge extractor: A tool for extracting knowledge from text
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    Chapter 42 The CG mars lander
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    Chapter 43 PCCG: An operational tracked grid for creating conceptual graphs
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    Chapter 44 The CORALI project: From conceptual graphs to conceptual graphs via labelled graphs
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    Chapter 45 Contexts: A formal definition of worlds of assertions
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    Chapter 46 Positive nested conceptual graphs
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    Chapter 47 A different perspective on canonicity
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    Chapter 48 Aggregations in conceptual graphs
Overall attention for this book and its chapters
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About this Attention Score

  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Readers on

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9 Mendeley
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Title
Conceptual Structures: Fulfilling Peirce's Dream
Published by
Lecture notes in computer science, January 1997
DOI 10.1007/bfb0027865
ISBNs
978-3-54-063308-2, 978-3-54-069424-3
Authors

Dickson Lukose, Harry Delugach, Mary Keeler, Leroy Searle, John Sowa

Editors

Dickson Lukose, Harry Delugach, Mary Keeler, Leroy Searle, John Sowa

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 11%
Canada 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Bachelor 1 11%
Student > Master 1 11%
Other 1 11%
Student > Doctoral Student 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 5 56%
Business, Management and Accounting 1 11%
Mathematics 1 11%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 August 2020.
All research outputs
#6,146,858
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#2,018
of 8,126 outputs
Outputs of similar age
#15,382
of 91,561 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 20 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 91,561 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.