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A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications (Hardcover, 2014 ed.) Loot Price: R4,681
Discovery Miles 46 810
You Save: R286 (6%)
A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications (Hardcover, 2014 ed.):...

A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications (Hardcover, 2014 ed.)

Naeem Khalid Janjua

Series: Springer Theses

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List price R4,967 Loot Price R4,681 Discovery Miles 46 810 | Repayment Terms: R439 pm x 12* You Save R286 (6%)

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: February 2014
First published: 2014
Authors: Naeem Khalid Janjua
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Hardcover
Pages: 301
Edition: 2014 ed.
ISBN-13: 978-3-319-03948-0
Categories: Books > Computing & IT > Computer software packages > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-319-03948-2
Barcode: 9783319039480

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