Get A Defeasible Logic Programming-Based Framework to Support PDF

By Naeem Khalid Janjua

This booklet experiences at the improvement and validation of a widely used defeasible good judgment programming framework for undertaking argumentative reasoning in Semantic net purposes (GF@SWA). The proposed method is exclusive in supplying an answer for representing incomplete and/or contradictory details coming from diverse assets, and reasoning with it. GF@SWA is ready to symbolize this sort of details, practice argumentation-driven hybrid reasoning to unravel conflicts, and generate graphical representations of the built-in details, therefore aiding determination makers in selection making strategies. GF@SWA represents the 1st argumentative reasoning engine for undertaking computerized reasoning within the Semantic internet context and is predicted to have an important impression on destiny enterprise purposes. The e-book offers the readers with a close and transparent exposition of other argumentation-based reasoning thoughts, and in their value and use in Semantic net purposes. It addresses either teachers and execs, and may be of fundamental curiosity to researchers, scholars and practitioners within the sector of Web-based clever determination aid structures and their software in quite a few domains.

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

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Reasoning on such semantically linked data with the help of an argumentative reasoning engine will reveal a number of relationships between products and customer feedback. Such reasoning will be very helpful in improving products and the quality of service. 2. Ontology engineering, alignment and merging When ontologies and rules are developed by different authors and/or sources 26 1 Introduction Fig. 12 Outline of chapters are merged, inconsistencies and contradictions arise naturally and argumentative reasoning could be used as an important mechanism to resolve these conflicts.

To explain the defeasible nature of business policies, consider a very common example concerning pricing policy, discussed in the literature (Antoniou and Arief 2002; Grosof et al. 2002). 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.

E asserts that A is known to be true. A is within D. Therefore, A may plausibly be taken to be true. 5 Argumentation Life Cycle According to Eemeren and Grootendorst (2004); Walton (2009), four tasks under the umbrella of argumentation are identification, analysis, evaluation and invention. The task of detection involves the construction of an argument and attaching it to an argumentation scheme, if possible. It involves the detection of a difference of opinion. In the analysis phase, the participant tries to find implicit premises and conclusions and tries to make them explicit to better evaluate the argument.

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