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Moving Object Detection and Tracking Based on Three-Frame Difference and Background Subtraction with Laplace Filter Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Knowledge Representation in Model Driven Approach in Terms of the Zachman Framework

Authors : Krzysztof Kluza, Piotr Wiśniewski, Antoni Ligęza, Anna Suchenia, Joanna Wyrobek

Published in: Artificial Intelligence and Soft Computing

Publisher: Springer International Publishing

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Abstract

Model driven approach uses distinct models for representing various kinds of complex knowledge. Use of appropriate models allows for taking advantage of formal checking, testing, and validating possibilities available for the models. Although the notations do not provide any design method or software process, this paper offers a step to integrated modeling using them. We present an overview of the existing OMG solutions for knowledge representation used in software engineering, focusing on UML, BPMN, DMN and CMMN models and the diagrams provided by these notations. We perform an analysis of these approaches in terms of Kruchten’s 4+1 view model architecture as well as the Zachman Framework.

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Metadata
Title
Knowledge Representation in Model Driven Approach in Terms of the Zachman Framework
Authors
Krzysztof Kluza
Piotr Wiśniewski
Antoni Ligęza
Anna Suchenia
Joanna Wyrobek
Copyright Year
2018
Book
Artificial Intelligence and Soft Computing

Print ISBN: 978-3-319-91261-5

Electronic ISBN: 978-3-319-91262-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-91262-2_60

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