A Defeasible Logic Programming-Based Framework to Support by Naeem Khalid Janjua

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By Naeem Khalid Janjua

This e-book stories at the improvement and validation of a common defeasible common sense programming framework for conducting argumentative reasoning in Semantic internet purposes (GF@SWA). The proposed technique 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 characterize this sort of details, practice argumentation-driven hybrid reasoning to solve conflicts, and generate graphical representations of the built-in info, hence aiding determination makers in determination making techniques. GF@SWA represents the 1st argumentative reasoning engine for undertaking automatic reasoning within the Semantic internet context and is anticipated to have an important impression on destiny enterprise functions. The publication presents the readers with an in depth and transparent exposition of alternative argumentation-based reasoning strategies, and in their significance and use in Semantic net functions. It addresses either teachers and pros, and may be of basic curiosity to researchers, scholars and practitioners within the zone of Web-based clever selection help structures and their program in a number of domains.

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

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However, this is not true in all cases. In a classical sense, argumentation is the study of effective reasoning to reach to a conclusion which is the key way humans deal with incomplete and/or contradictory information by taking into account the exchange and evaluation of arguments and counter-arguments relevant to a certain issue (Zarefsky 2009). Decisions from argumentative reasoning are backed by an explanation generated during the choices made. Argumentation is inherently a process rather than an instant picture and the building blocks of argumentation are arguments and relationship between those arguments (Loui 1998).

The introduction of the Semantic Web ensures the seamless integration of information derived from diverse sources and transforms the DSS into an adoptable and flexible Semantic Web-DSS (Web-DSS). But, as discussed in the first scenario, the current Semantic Web lacks the capability to represent, reason and integrate incomplete and/or contradictory information. This, in turn, renders an enterprise incapable of knowledge integration; that is, the integration of knowledge about a subject that could be incomplete, contradictory and distributed among different Web-based DSS within an enterprise or in other enterprises.

The choices suggested by prediction systems need to be backed by explanations. This thesis will equip the prediction systems with argumentation support to generate explanations in the form of arguments and counter-argument against each suggested choice. 3. Generic framework for information processing, integration and exchange In an open computing environment, such as the WWW or an enterprise intranet, various decision support systems are expected to work together to support information exchange, processing, and integration.

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