| Resumen |
A person adds new knowledge to his/her mind, taking into accountnew information, additional details, better precision, synonyms, homonyms,redundancies, apparent contradictions, and inconsistencies between what he/sheknows and new knowledge that he/she acquires. This way, he/she incrementallyacquires information keeping at all times it consistent. This information can beperfectly represented by Ontologies. In contrast to human approach, algorithmsof Ontologies fusion lack these features, merely being computer-aided editorswhere a person solves the details and inconsistencies. This article presents amethod of Ontology Merging (OM), its algorithm and implementation to fuseor join two Ontologies (obtained from Web documents) in an automatic fashion(without human intervention), producing a third ontology, and taking intoaccount the inconsistencies, contradictions, and redundancies between bothOntologies, thus delivering a result close to reality. OM produces better results,when they are compared against fusions manually carried out. The repeated useof OM allows acquisition of much more information about the same topic |
