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Conceptual Modelling in Information Systems Engineering

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Cover of 'Conceptual Modelling in Information Systems Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 From Information Algebra to Enterprise Modelling and Ontologies — a Historical Perspective on Modelling for Information Systems
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    Chapter 2 Fact-Oriented Modeling: Past, Present and Future
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    Chapter 3 Data Integration — Problems, Approaches, and Perspectives
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    Chapter 4 Challenges to Conceptual Modelling
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    Chapter 5 Interoperable Management of Conceptual Models
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    Chapter 6 Uniform and Flexible Data Management in Workflow Management Systems
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    Chapter 7 Using Models in Enterprise Systems Projects
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    Chapter 8 The Role of Business Models in Enterprise Modelling
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    Chapter 9 Capturing System Intentionality with Maps
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    Chapter 10 Conceptual Modeling and Software Design of Multi-agent Systems
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    Chapter 11 Agent Approach to Online Legal Trade
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    Chapter 12 Methods and Tools for Developing Interactive Information Systems
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    Chapter 13 Conceptual Alignment of Software Production Methods
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    Chapter 14 The Co-Development of System Requirements and Functional Architecture
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    Chapter 15 Capturing Dependability Threats in Conceptual Modelling
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    Chapter 16 What Is Being Iterated? Reflections on Iteration in Information System Engineering Processes
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    Chapter 17 Systems Development in a GRIDs Environment
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    Chapter 18 Adaptive Information Systems
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    Chapter 19 Modelling of the People, by the People, for the People
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    Chapter 20 A Research Agenda for Conceptual Schema-Centric Development
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Citations

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Title
Conceptual Modelling in Information Systems Engineering
Published by
Springer, Berlin, Heidelberg, June 2007
DOI 10.1007/978-3-540-72677-7
ISBNs
978-3-54-072676-0, 978-3-54-072677-7
Editors

John Krogstie, Andreas Lothe Opdahl, Sjaak Brinkkemper

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Norway 2 3%
United States 1 2%
Switzerland 1 2%
Unknown 53 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 13 22%
Student > Master 13 22%
Student > Bachelor 5 8%
Student > Postgraduate 2 3%
Other 7 12%
Unknown 3 5%
Readers by discipline Count As %
Computer Science 30 51%
Engineering 7 12%
Business, Management and Accounting 6 10%
Medicine and Dentistry 2 3%
Economics, Econometrics and Finance 2 3%
Other 8 14%
Unknown 4 7%