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Synergies Between Knowledge Engineering and Software Engineering

Overview of attention for book
Cover of 'Synergies Between Knowledge Engineering and Software Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Aspect-Oriented Ontology Development
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    Chapter 2 Similarity-Based Retrieval and Automatic Adaptation of Semantic Workflows
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    Chapter 3 Development of Knowledge-Based Systems Which Use Bayesian Networks
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    Chapter 4 Knowledge Acquisition During Software Development: Modeling with Anti-patterns
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    Chapter 5 Knowledge Engineering of System Refinement What We Learnt from Software Engineering
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    Chapter 6 Using the Event-B Formal Method and the Rodin Framework for Verification the Knowledge Base of an Rule-Based Expert System
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    Chapter 7 Knowledge Engineering for Distributed Case-Based Reasoning Systems
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    Chapter 8 Agile Knowledge Engineering for Mission Critical Software Requirements
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    Chapter 9 Knowledge Engineering for Decision Support on Diagnosis and Maintenance in the Aircraft Domain
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    Chapter 10 The Role of Ontologies and Decision Frameworks in Computer-Interpretable Guideline Execution
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    Chapter 11 Metamarket – Modelling User Actions in the Digital World
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    Chapter 12 OntoMaven - Maven-Based Ontology Development and Management of Distributed Ontology Repositories
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    Chapter 13 Non-distracting, Continuous Collection of Software Development Process Data
Attention for Chapter 1: Aspect-Oriented Ontology Development
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Citations

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Chapter title
Aspect-Oriented Ontology Development
Chapter number 1
Book title
Synergies Between Knowledge Engineering and Software Engineering
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-64161-4_1
Book ISBNs
978-3-31-964160-7, 978-3-31-964161-4
Authors

Ralph Schäfermeier, Adrian Paschke

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Bachelor 2 40%
Student > Master 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Engineering 2 40%
Social Sciences 1 20%

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