Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications (e-bog) af Janjua, Naeem Khalid
Janjua, Naeem Khalid (forfatter)

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

1240,73 DKK (inkl. moms 1550,91 DKK)
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 o...
E-bog 1240,73 DKK
Forfattere Janjua, Naeem Khalid (forfatter)
Forlag Springer
Udgivet 15 februar 2014
Genrer E-commerce: business aspects
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783319039497
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.