Combining name and context matching for semantic integration

Interoperability is a key issue for information system nowadays. The need for integration of different sources of data is needed when working in a distributed environment as well as when thinking of use data captured in the web. In both cases data may come with heterogeneities in many aspects, and thus the integration is mandatory to allow the correct use of data. A first step in this sence is integrate the schemas used to describe the data, which can be ontologies, conceptual schemas, XML-schemas, etc. In this paper we present the a methodoloy to integrate schemas considering string distance metrics for name matching and also an ontology approach for context matching in a semi-automatic way. The methodology is based on an algorithm which consider different approaches depending on the schemas to be integrated.