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A Defeasible Logic Programming-Based Framework to Support Arg... - 9783319039480

Description: A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications Author(s): Naeem Khalid Janjua Format: Hardback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319039480, 978-3319039480 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.

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Location: Aldershot

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A Defeasible Logic Programming-Based Framework to Support Arg... - 9783319039480

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Book Title: A Defeasible Logic Programming-Based Framework to Support Argu...

Number of Pages: 301 Pages

Language: English

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

Publisher: Springer International Publishing A&G

Publication Year: 2014

Subject: Computer Science, Management, Business

Item Height: 235 mm

Item Weight: 6033 g

Type: Textbook

Author: Naeem Khalid Janjua

Subject Area: Data Analysis

Series: Springer Theses

Item Width: 155 mm

Format: Hardcover

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