10% off all books and free delivery over £50
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications

View All Editions (2)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications Synopsis

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.

About This Edition

ISBN: 9783319039480
Publication date:
Author: Naeem Khalid Janjua
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 390 pages
Series: Springer Theses
Genres: Artificial intelligence
Expert systems / knowledge-based systems
Management decision making
Operational research
Data mining
Computer applications in the social and behavioural sciences
E-commerce: business aspects