Overview
- Nominated as an outstanding PhD thesis by Curtin University, Australia
- Proposes a defeasible logic programming-based framework for carrying out argumentative reasoning in semantic web applications
- Describes the first semantic web-based approach for addressing the problem of decision making when information is coming from multiple information sources and is incomplete and/or contradictory
- Provides the readers with a comprehensive survey of the current literature on argumentation, and its pro et contra
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book reports on the development and validation of a generic defeasible logic programming framework for carrying out argumentative reasoning in Semantic Web applications (GF@SWA). The proposed methodology is unique in providing a solution for representing incomplete and/or contradictory information coming from different sources, and reasoning with it. GF@SWA is able to represent this type of information, perform argumentation-driven hybrid reasoning to resolve conflicts, and generate graphical representations of the integrated information, thus assisting decision makers in decision making processes. GF@SWA represents the first argumentative reasoning engine for carrying out automated reasoning in the Semantic Web context and is expected to have a significant impact on future business applications. The book provides the readers with a detailed and clear exposition of different argumentation-based reasoning techniques, and of their importance and use in Semantic Web applications. It addresses both academics and professionals, and will be of primary interest to researchers, students and practitioners in the area of Web-based intelligent decision support systems and their application in various domains.
Authors and Affiliations
Bibliographic Information
Book Title: A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications
Authors: Naeem Khalid Janjua
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-03949-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-03948-0Published: 26 February 2014
Softcover ISBN: 978-3-319-38170-1Published: 03 September 2016
eBook ISBN: 978-3-319-03949-7Published: 15 February 2014
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVII, 301
Number of Illustrations: 106 b/w illustrations, 4 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Operations Research/Decision Theory, e-Commerce/e-business, Artificial Intelligence