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Knowledge Engineering and Knowledge Management Methods, Models, and Tools : 12th International Conference, EKAW 2000 Juan-les-Pins, France, October 2–6, 2000 Proceedings

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Cover of 'Knowledge Engineering and Knowledge Management Methods, Models, and Tools : 12th International Conference, EKAW 2000 Juan-les-Pins, France, October 2–6, 2000 Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 OIL in a Nutshell
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    Chapter 2 The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility
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    Chapter 3 A Case Study in Using Protégé-2000 as a Tool for CommonKADS
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    Chapter 4 The MOKA Modelling Language
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    Chapter 5 Md ωπ : A Modelling Language to Build a Formal Ontology in Either Description Logics or Conceptual Graphs
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    Chapter 6 Ontology’s Crossed Life Cycles
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    Chapter 7 A Roadmap to Ontology Specification Languages
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    Chapter 8 A Formal Ontology of Properties
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    Chapter 9 Construction and Deployment of a Plant Ontology
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    Chapter 10 The Role of Ontologies for an Effective and Unambiguous Dissemination of Clinical Guidelines
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    Chapter 11 Supporting Inheritance Mechanisms in Ontology Representation
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    Chapter 12 Conflict Resolution in the Collaborative Design of Terminological Knowledge Bases
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    Chapter 13 Revisiting Ontology Design: A Method Based on Corpus Analysis
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    Chapter 14 Mining Ontologies from Text
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    Chapter 15 SVETLAN’ Or How to Classify Words Using Their Context
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    Chapter 16 KIDS: An Iterative Algorithm to Organize Relational Knowledge
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    Chapter 17 Informed Selection of Training Examples for Knowledge Refinement
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    Chapter 18 Experiences with a Generic Refinement Toolkit
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    Chapter 19 What’s in an Electronic Business Model?
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    Chapter 20 Chinese Encyclopaedias and Balinese Cockfights - Lessons for Business Process Change and Knowledge Management
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    Chapter 21 Using Problem-Solving Models to Design Efficient Cooperative Knowledge-Management Systems Based on Formalization and Traceability of Argumentation
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    Chapter 22 Integrating Textual Knowledge and Formal Knowledge for Improving Traceability
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    Chapter 23 Knowledge Management by Reusing Experience
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    Chapter 24 Integrating Knowledge-Based Configuration Systems by Sharing Functional Architectures
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    Chapter 25 The Nature of Knowledge in an Abductive Event Calculus Planner
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    Chapter 26 Adapting Tableaux for Classification
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    Chapter 27 Conceptual Information Systems Discussed through an IT-Security Tool
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    Chapter 28 Translations of Ripple Down Rules into Logic Formalisms
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    Chapter 29 Generalising Ripple-Down Rules
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    Chapter 30 Monitoring Knowledge Acquisition Instead of Evaluating Knowledge Bases
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    Chapter 31 Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems
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    Chapter 32 Certifying KBSs: Using CommonKADS to Provide Supporting Evidence for Fitness for Purpose of KBSs
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    Chapter 33 Kinesys, a Participative Approach to the Design of Knowledge Systems
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    Chapter 34 An Organizational Semiotics Model for Multi-agent Systems Design
Attention for Chapter 31: Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems
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Citations

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Chapter title
Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems
Chapter number 31
Book title
Knowledge Engineering and Knowledge Management Methods, Models, and Tools
Published by
Springer, Berlin, Heidelberg, October 2000
DOI 10.1007/3-540-39967-4_31
Book ISBNs
978-3-54-041119-2, 978-3-54-039967-4
Authors

Perry Groot, Frank Van Harmelen, Annette Ten Teije, Groot, Perry, Van Harmelen, Frank, Teije, Annette Ten

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 4 33%
Germany 1 8%
Unknown 7 58%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Ph. D. Student 3 25%
Student > Bachelor 2 17%
Student > Master 2 17%
Professor 1 8%
Other 1 8%
Readers by discipline Count As %
Computer Science 10 83%
Business, Management and Accounting 1 8%
Economics, Econometrics and Finance 1 8%