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Technologies for E-Services

Overview of attention for book
Cover of 'Technologies for E-Services'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Robust Web Services via Interaction Contracts
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    Chapter 2 When are Two Web Services Compatible?
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    Chapter 3 Negotiation Support for Web Service Selection
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    Chapter 4 From Web Service Composition to Megaprogramming
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    Chapter 5 Using Process Algebra for Web Services: Early Results and Perspectives
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    Chapter 6 Flexible Coordination of E-Services
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    Chapter 7 $\mathcal {ESC}$ : A Tool for Automatic Composition of e- Services Based on Logics of Programs
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    Chapter 8 Dynamically self-organized service composition in wireless ad hoc networks
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    Chapter 9 Designing Workflow Views with Flows for Large-Scale Business-to-Business Information Systems
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    Chapter 10 A Practice in Facilitating Service-Oriented Inter-Enterprise Application Integration
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    Chapter 11 Discovering and Using Web Services in M-Commerce
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    Chapter 12 Financial Information Mediation: A Case Study of Standards Integration for Electronic Bill Presentment and Payment Using the COIN Mediation Technology
Attention for Chapter 5: Using Process Algebra for Web Services: Early Results and Perspectives
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Readers on

mendeley
9 Mendeley
Summary
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Chapter title
Using Process Algebra for Web Services: Early Results and Perspectives
Chapter number 5
Book title
Technologies for E-Services
Published by
Springer, Berlin, Heidelberg, August 2004
DOI 10.1007/978-3-540-31811-8_5
Book ISBNs
978-3-54-025049-4, 978-3-54-031811-8
Authors

Lucas Bordeaux, Gwen Salaün

View on publisher site
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 %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 67%
Lecturer > Senior Lecturer 2 22%
Professor > Associate Professor 1 11%
Student > Master 1 11%
Readers by discipline Count As %
Computer Science 8 89%
Economics, Econometrics and Finance 1 11%

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