Visit our Christmas Gift Finder
Click & Collect from 2 Hours*
Free Delivery to UK Shops
Free UK Standard Delivery On all orders £20 and over Free Delivery to UK Shops Local shops and expert booksellers nationwide Free Click & Collect to UK shops From 2 hours of your order*
A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications - Springer Theses (Paperback)
  • A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications - Springer Theses (Paperback)
zoom

A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications - Springer Theses (Paperback)

(author)
£109.99
Paperback 301 Pages / Published: 03/09/2016
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket

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.

Publisher: Springer International Publishing AG
ISBN: 9783319381701
Number of pages: 301
Weight: 4861 g
Dimensions: 235 x 155 x 17 mm
Edition: Softcover reprint of the original 1st ed. 201

You may also be interested in...

Understanding Machine Learning
Added to basket
Semantic Role Labeling
Added to basket
Dark Pools
Added to basket
£9.99
Paperback
Artificial Intelligence: The Basics
Added to basket
Machine Learning
Added to basket
£56.99
Mixed media product
Machine Learning
Added to basket
Probabilistic Robotics
Added to basket
An Introduction to Genetic Algorithms
Added to basket
Superintelligence
Added to basket
£18.99
Hardback
Introducing Artificial Intelligence
Added to basket
The Elements of Statistical Learning
Added to basket
Computer Vision
Added to basket
Programming Computer Vision with Python
Added to basket
Reinforcement Learning
Added to basket
Thoughtful Machine Learning
Added to basket
The Singularity Is Near
Added to basket

Please sign in to write a review

Your review has been submitted successfully.