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A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets Read chapter Read first chapter

2016 | OriginalPaper | Chapter

An Ontology-Based Knowledge Representation of MCDA Methods

Authors : Jarosław Wątróbski, Jarosław Jankowski

Published in: Intelligent Information and Database Systems

Publisher: Springer Berlin Heidelberg

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Abstract

Multiple-criteria decision analysis methods are widely used as tools supporting a decision problem. The article presents the taxonomy of the methods, which takes into consideration the most essential characteristics. This taxonomy, in the conceptualization process, was written by means of description logic and then it was implemented in the OWL language in the form of ontology representing field knowledge in the scope of MCDA methods. The research also considers the ontology verification prepared with the use of competency questions.

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previous chapter Argumentation Framework for Merging Stratified Belief Bases
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Metadata
Title
An Ontology-Based Knowledge Representation of MCDA Methods
Authors
Jarosław Wątróbski
Jarosław Jankowski
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
Book
Intelligent Information and Database Systems

Print ISBN: 978-3-662-49380-9

Electronic ISBN: 978-3-662-49381-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-662-49381-6_6

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