By Naeem Khalid Janjua
This publication reviews at the improvement and validation of a usual defeasible good judgment programming framework for conducting argumentative reasoning in Semantic internet purposes (GF@SWA). The proposed method is exclusive in delivering an answer for representing incomplete and/or contradictory details coming from diverse assets, and reasoning with it. GF@SWA is ready to signify this kind of info, practice argumentation-driven hybrid reasoning to unravel conflicts, and generate graphical representations of the built-in info, hence aiding selection makers in choice making approaches. GF@SWA represents the 1st argumentative reasoning engine for engaging in computerized reasoning within the Semantic net context and is anticipated to have an important impression on destiny enterprise purposes. The publication offers the readers with an in depth and transparent exposition of alternative argumentation-based reasoning suggestions, and in their value and use in Semantic internet functions. It addresses either teachers and execs, and should be of fundamental curiosity to researchers, scholars and practitioners within the region of Web-based clever choice help structures and their software in quite a few domains.
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Additional resources for A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications
Even though concepts are drawn from the philosophical view of argumentation and logic programming, this thesis does not claim to make a contribution to those areas. 8 Significance of the Thesis The significance of this thesis can be discussed under two broad sections: scientific significance and social significance. 1 Scientific Significance Currently, there is no argumentative reasoning engine for carrying out automated reasoning in the Semantic Web context. This research will contribute significantly to the existing body of knowledge for building a framework which adheres to Web standards that can perform argumentative reasoning as a standalone component in Semantic Web applications.
Backing: The backing (or support) for an argument gives additional support to the warrant by answering different questions. 5. Modal qualification or degree of cogency: Qualifying the claim to express the degree of cogency or modal specification. This is the extent to which the argument is both sound and intellectually compelling. 4 Philosophical Models of Argumentation 37 express the concept of degree of cogency. The degrees of cogency are certainty, probability, plausibility or possibility. 6.
According to Baroni et al. (1998), Toulmin’s conceptual model of argumentation can help to classify the various ways an argument can be analyzed. According to Toulmin, three possible strategies are: 1. If the initial data of the opponent is wrong, all the conclusions derived from that data will be undermined. 2. e. warrant, this might mean questioning the knowledge used in the current context or questioning the inference rules. 3. If inconsistencies can be detected in the opponent’s background knowledge, challenge the backing.