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Synergies Between Knowledge Engineering and Software Engineering

  • Book
  • © 2018

Overview

  • Summarizes a decade of works by the knowledge engineering and software engineering community
  • Is a memorial volume compiling thirteen intriguing contributions closely related to knowledge engineering and software engineering
  • Presents topics with both methodological and application backgrounds
  • Compiles a number of contributions to the KESE workshop series
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 626)

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Table of contents (13 chapters)

Keywords

About this book

This book compiles a number of contributions originating from the KESE (Knowledge Engineering and Software Engineering) workshop series from 2005 to 2015. The idea behind the series was the realignment of the knowledge engineering discipline and its strong relation to software engineering, as well as to the classical aspects of artificial intelligence research. The book introduces symbiotic work combining these disciplines, such as aspect-oriented and agile engineering, using anti-patterns, and system refinement. Furthermore, it presents successful applications from different areas that were created by combining techniques from both areas.

Editors and Affiliations

  • AGH University of Science and Technology , Kraków, Poland

    Grzegorz J. Nalepa

  • Universität Würzburg , Würzburg, Germany

    Joachim Baumeister

Bibliographic Information

  • Book Title: Synergies Between Knowledge Engineering and Software Engineering

  • Editors: Grzegorz J. Nalepa, Joachim Baumeister

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-64161-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Softcover ISBN: 978-3-319-64160-7Published: 17 September 2017

  • eBook ISBN: 978-3-319-64161-4Published: 15 September 2017

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIV, 294

  • Number of Illustrations: 20 b/w illustrations, 73 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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