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Inconsistency-Tolerant Reasoning in Datalog± Ontologies via an Argumentative Semantics

Martinez, Maria Vanina et al · Springer · 2014

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The Semantic Web provides an effective infrastructure that allows data to be easily shared and reused across applications. At its core is the description of ontological knowledge using ontological languages which are powerful knowledge representation tools with good decidability and tractability properties; Datalog± is one of these tools.The problem of inconsistency has been acknowledged in both the Semantic Web and Database Theory communities. Here we introduce elements of defeasible argumentative reasoning in Datalog±, consequences to represent statements whose truth can be challenged leading to a better handling of inconsistency in ontological languages. Fil: Martinez, Maria Vanina. University of Oxford; Reino Unido Fil: Deagustini, Cristhian Ariel David. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina

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APA 7

Martinez, M. V. E. A. (2014). Inconsistency-Tolerant Reasoning in Datalog± Ontologies via an Argumentative Semantics. http://hdl.handle.net/11336/12627

MLA

Martinez, Maria Vanina et al. "Inconsistency-Tolerant Reasoning in Datalog± Ontologies via an Argumentative Semantics." 2014. http://hdl.handle.net/11336/12627.

Chicago

Martinez, Maria Vanina et al. 2014. "Inconsistency-Tolerant Reasoning in Datalog± Ontologies via an Argumentative Semantics.". http://hdl.handle.net/11336/12627.

Harvard

Martinez, M. V. E. A. 2014, Inconsistency-Tolerant Reasoning in Datalog± Ontologies via an Argumentative Semantics, Springer, available at: http://hdl.handle.net/11336/12627 [Accessed 7 Aug. 2026].

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Title
Inconsistency-Tolerant Reasoning in Datalog± Ontologies via an Argumentative Semantics
Author / contributors
Martinez, Maria Vanina et al
Publisher
Springer
Publication year
2014
ISSN
0302-9743
ISSN
0302-9743
Language
English

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