By Naeem Khalid Janjua
This e-book reviews at the improvement and validation of a familiar 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 info coming from assorted assets, and reasoning with it. GF@SWA is ready to symbolize this kind of info, practice argumentation-driven hybrid reasoning to unravel conflicts, and generate graphical representations of the built-in details, hence helping selection makers in selection making techniques. GF@SWA represents the 1st argumentative reasoning engine for conducting computerized reasoning within the Semantic internet context and is anticipated to have an important influence on destiny enterprise functions. The publication offers the readers with a close and transparent exposition of alternative argumentation-based reasoning options, and in their significance and use in Semantic internet purposes. It addresses either lecturers and execs, and may be of basic curiosity to researchers, scholars and practitioners within the quarter of Web-based clever choice aid platforms and their software in numerous domains.
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Extra resources for A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications
In these scenarios, where contradictory information appears within enterprise boundaries, they either eradicate it or do not include this information in the decision-making processes. e. to represent and reason over incomplete and/or contradictory information. However, as pointed out in Sect. 3, in defeasible reasoning, the priorities are predefined and hard-coded in the application and assume no more possible conflicts will arise during the decision-making process. In contrast, the applications discussed in Sect.
The generated business process map will provide a complete picture for the business manager in identifying and making recommendations to resolve the non-compliance of operational business processes with the business policies. It can be seen from above mentioned challenges that the notion of information that is present at one point of time can be changed by the introduction of new information which may be either incomplete and/or in conflict with the information on hand. In such situations, a decision made earlier needs to be reconsidered and reasoned again in the presence of new incomplete that may be incomplete and/or contradictory.
Theory Pract Logic Program 8(3):249–269 Boley H, Kifer M, Patranjan PL, Polleres A (2007) Rule interchange on the web. In: Antoniou G, Aßmann U, Baroglio C, Decker S, Henze N, Patranjan PL, Tolksdorf R (eds) Reasoning web. Lecture notes in computer science, vol 4636. Springer, Berlin, pp 269–309 Chesnevar C, McGinnis J, Modgil S, Rahwan I, Reed C, Simari G, South M, Vreeswijk G, Willmott S (2006a) Towards an argument interchange format. Knowl Eng Rev 21(4):293–316 Chesnevar CI, Maguitman AG, Simari GR (2006b) Argument-based critics and recommenders: a qualitative perspective on user support systems.