A Language and Algorithm for Automatic Merging of Ontologies

Nowadays, most of the important information resources that the people require are available through the Internet. The use of several sources in the Internet requires merging the information into a knowledge base in a reasonable way. We will use an ontology, an information technology that manages this knowledge in computers. Merging is an important task and many languages and tools have been developed to describe and process Internet content but the current languages (DAML+OIL, RDF, OWL, etc.) lack a complete expressiveness. For this reason, we present two important improvements to facilitate knowledge interchange: 1) The OM (ontology merging) notation that provides substantial improvements to these languages and 2) The OM algorithm, this is totally automatic in comparison with others (Prompt, Chimaera, OntoMerge, FCA-Merge, IF-Map and ISI) where the user manually solves the most important problems found in the merging