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Author(s): A.D. Cuevas–Rasgado | A. Guzman–Arenas

Journal: Ingeniería Investigación y Tecnologia
ISSN 1405-7743

Volume: 10;
Issue: 1;
Start page: 63;
Date: 2009;
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Keywords: Ontology fusión | knowledge representation | semantic processing | artificial intelligence | text processing | ontology.

ABSTRACT
A person builds his or her knowledge from different sources of information. In school he learns that Buonarroti was born in Caprese and at home they tell him that the name of the neighbor's dog is Fido. In order to know more, he combines information from many sources. But this multi–source information can contain repetitions, different level of details or precision, and contradictions. These problems are not easy to solve by computers. Nevertheless, the enormous masses of accumulated knowledge (in the Web there exist more than one billion different pages) demand computer efforts to combine them, since merging manually this information in a consistent way is outside human capabilities. In this paper, a method is explained to combine multi–source information in a manner that is automatic and robust; contradictions are detected and sometimes solved. Redundancy is expunged. The method combines two source ontologies into a third; through iteration, any number can be combined.

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Tangokurs Rapperswil-Jona

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