By Naeem Khalid Janjua
This booklet studies at the improvement and validation of a established defeasible good judgment programming framework for conducting argumentative reasoning in Semantic internet purposes (GF@SWA). The proposed technique is exclusive in offering an answer for representing incomplete and/or contradictory info coming from various assets, and reasoning with it. GF@SWA is ready to signify this sort of info, practice argumentation-driven hybrid reasoning to unravel conflicts, and generate graphical representations of the built-in details, hence helping choice makers in determination making methods. GF@SWA represents the 1st argumentative reasoning engine for undertaking automatic reasoning within the Semantic net context and is predicted to have an important effect on destiny enterprise functions. The ebook offers the readers with a close and transparent exposition of other argumentation-based reasoning ideas, and in their value and use in Semantic net purposes. It addresses either lecturers and execs, and should be of basic curiosity to researchers, scholars and practitioners within the zone of Web-based clever determination help structures and their software in a variety of domains.
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Extra resources for A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications
As it is known, business policies are of paramount importance in the working of an enterprise. Operational business processes that are derived from business policies consists of business processes and business rules that define how an enterprise carries out its operations. However, it has been observed that over a period of time, operational business processes may not comply with enterprise business policies. A lack of systematic methodologies to check for such non-compliance results in the dependence of enterprises on ad-hoc, time-consuming process mapping techniques.
9 Thesis Plan 27 • In Chap. 7, a conceptual framework for Semantic Web applications to consider unstructured information that may be incomplete and/or contradictory is developed. To explain the working of the conceptual framework, a case study that takes into account the business polices of an enterprise for the generation of a business process map is considered. Argumentation-enabled Web-based Intelligent DSS that uses knowledge representation approach with argumentative reasoning for process map discover from unstructured business policies (KR@PMD) is developed.
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. On the basis of the literature review, it has been identified that non-monotonic reasoning and argumentation will have a significant impact on business applications (Kontopoulos et al.