DocumentCode :
2859512
Title :
Blending rules and ontology in argumentation
Author :
Marginean, Anca
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear :
2009
fDate :
22-25 June 2009
Firstpage :
493
Lastpage :
498
Abstract :
It is good to know, but to know how to mix what you know is even better. We propose an argumentative manner for dealing with knowledge from different sources using different formalisms as ontologies and rules. Each of the involved formalisms are better as they are, without translating one to another, therefore our aim is to mix formalisms´ reasoning abilities without significant translations between them. We define two schemes for building arguments from both rules and ontology. The resulting argumentation network is visualized in an application meant not to make a decision, but to facilitate the human user in evaluating and assessing the interdependences between available knowledge.
Keywords :
inference mechanisms; ontologies (artificial intelligence); argumentation; blending rule; ontology; rule reasoning; Computer applications; Computer science; Fuzzy logic; Humans; Information technology; Knowledge management; Knowledge representation; Ontologies; Semantic Web; Visualization; AIF; Argumentation; Ontology reasoning; Rule reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology Interfaces, 2009. ITI '09. Proceedings of the ITI 2009 31st International Conference on
Conference_Location :
Dubrovnik
ISSN :
1330-1012
Print_ISBN :
978-953-7138-15-8
Type :
conf
DOI :
10.1109/ITI.2009.5196133
Filename :
5196133
Link To Document :
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