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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional Autónoma de México
2009
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| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=40411427007 |
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Table of Contents:
- Fusing Interesting Topics in the Web A.D. Cuevas-Rasgado A. Guzman-Arenas Ingeniería ontology text processing Onto logy fusion semantic proces sing artificial intelligence A person builds his or her know ledge from diffe rent sources of infor ma tion. In school he learns that Buona rroti was born in Caprese and at home they tell him that the name of the neigh bor¿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 contra dic tions. These problems are not easy to solve by compu ters. Nevert he less, the enor mous masses of accumulated knowledge (in the Web there exist more than one billion diffe rent 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 infor ma tion in a manner that is auto matic and robust;contra dictions are detected and some times solved. Redun dancy is expunged. The method combines two source ontologies into a third; through iteration, any number can be combined. 2009 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40411427007 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.1 Vol.X