By Naeem Khalid Janjua

This booklet experiences at the improvement and validation of a standard defeasible common sense programming framework for accomplishing argumentative reasoning in Semantic net functions (GF@SWA). The proposed method is exclusive in supplying an answer for representing incomplete and/or contradictory details coming from varied assets, and reasoning with it. GF@SWA is ready to symbolize this sort of details, practice argumentation-driven hybrid reasoning to solve conflicts, and generate graphical representations of the built-in details, therefore supporting determination makers in choice making procedures. GF@SWA represents the 1st argumentative reasoning engine for accomplishing computerized reasoning within the Semantic net context and is predicted to have an important effect on destiny enterprise functions. The ebook presents the readers with a close and transparent exposition of alternative argumentation-based reasoning thoughts, and in their value and use in Semantic internet functions. It addresses either teachers and execs, and may be of basic curiosity to researchers, scholars and practitioners within the region of Web-based clever choice help structures and their program in a variety of domains.

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

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These statements distinguish the notion of argument in philosophy from the technical notion of argument in logic by placing greater emphasis on the internal reasoning structure that leads the premises to a conclusion (Parsons 1996). The history of argumentation in philosophy can be traced back to the beginnings of rhetoric in ancient Greece. Rhetoric is the art of using language to communicate effectively. Citizens learned techniques to argue in court so that they could defend themselves. Aristotle carried out a systematic treatment of argumentation and rhetoric.

A typical scenario in a pricing policy is whether or not to give a discount to individuals based on their purchasing history. 2 Challenges in Semantic Web Applications 17 Suppose a buyer ‘Jon’ is a loyal customer. As a result, the business rule ‘R1’ applies to him and he receives a 5 % discount. However, it is later learned that ‘Jon’ also has a late-payment history. In such a case, the decision made earlier on the basis of business rule ‘R1’ may have to be retracted in view of the new information because of business rule ‘R3’, even though Jon is a loyal customer.

4, the conceptual framework for incomplete and/or contradictory information representation, reasoning and integration is outlined. • In Chap. 5, a conceptual framework for Argumentation-enabled Web-based intelligent DSS for incomplete and/or contradictory structured information representation, reasoning and integration (Web@IDSS) is developed. • In Chap. 6, a conceptual framework for enterprise knowledge integration through Argumentation-enabled Web-based intelligent DSS (Web@KIDSS) is developed.

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