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AbstractMost of the ontology matching systems used one or two with different combinations of technique by using background knowledge especially for cross-lingual ontologies The accuracy of these matching systems has regularly increased over the years with a number of techniques increased such as Wikipedia and Google TranslateThe overall aim of the project was to improve the accuracy of matching cross-lingual ontologies by using a pre-matching tool in such a way that an ontology matching programs such as LogMap can use a public API to improve the matching accuracy It has achieved the FollowingBuilding an integrated plugin for the ontologies that acquires and adds the translations of the classes in the ontologies which can help the ontology matching by using any other ontologies techniques after this plug-inIncreased the accuracy of LogMap matching between multilingual ontologies to the best Specific cross-lingual matchers comparing with the systems in OAEI 2013 Campaign Combining the information from the most popular translations APIs within according to a set of application rulesPresenting a method to improve the matching without considering the structure of the ontologies which is useful for the matching between ontologies contained different structureFurther developing the idea to improve the matching of ontologies by using the relations of the classes in the ontologies and the relations of the class from background knowledgeIntroductionMotivation The first question is why develop an ontology An ontology defines a common vocabulary for researchers who need to share information in a domain It includes machine-interpretable definitions of basic concepts in the domain and relations among them In recent years not only the realm of the Artificial-Intelligence laboratories but also the desktops of domain experts use ontologies technique Ontologies have become common on the World-Wide Web Sometime people develop an ontology for sharing the structure of entries or to enabling reuse the domain knowledgeOntology Matching is a problem of finding the semantic mappings between two given ontologies This problem lies at the heart of numerous
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