2012 ©
             Publication
Journal Publication
Title of Article An Argumentative Approach for Handling Inconsistency in Prioritized Datalog+- Ontologies 
Date of Acceptance 1 July 2022 
Journal
     Title of Journal AI Communications 
     Standard ISI 
     Institute of Journal IOS PRESS , NIEUWE HEMWEG 6B, AMSTERDAM, NETHERLANDS, 1013 BG 
     ISBN/ISSN 1875-8452 (E); 0921 -7126 (P)  
     Volume  
     Issue  
     Month
     Year of Publication 2022 
     Page  
     Abstract Prioritized Datalog± is a well-studied formalism for modelling ontological knowledge and data, and has a success story in many applications in the (Semantic) Web and in other domains. Since the information content on the Web is both inherently context-dependent and frequently updated, the occurrence of a logical inconsistency is often inevitable. This phenomenon has led the research community to develop various types of inconsistency-tolerant semantics over the last few decades. Although the study of query answering under inconsistency-tolerant semantics is well-understood, the problem of explaining query answering under such semantics took considerably less attention, especially in the scenario where the facts are prioritized. In this paper, we aim to fill this gap. More specifically, we use Dung’s abstract argumentation framework to address the problem of explaining inconsistency-tolerant query answering in Datalog± KB where facts are prioritized, or preordered. We clarify the relationship between preferred repair semantics and various notions of extensions for argumentation frameworks. The strength of such argumentation-based approach is the explainability; users can more easily understand why different points of views are conflicting and why the query answer is entailed (or not) under different semantics. To this end we introduce the formal notion of a dialogical explanation, and show how it can be used to both explain showing why query results hold and not hold according to the known semantics in inconsistent Datalog± knowledge bases. 
     Keyword Argumentation, Datalog± , Inconsistency, Preferences, Prioritized knowledge bases, Explanation 
Author
597020066-1 Ms. THI THUY LOAN HO [Main Author]
College of Computing Doctoral Degree

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