Methodological Aspects of Semantics Enrichment in Model Driven Architecture

Abstract

The Semantic Web is a vision for the future of the Web in which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the Web. An ontology defines the terms used to describe and represent an area of knowledge. Ontologies are used by people, databases, and applications that need to share domain information (a domain is just a specific subject area or area of knowledge, like medicine, tool manufacturing, real estate, automobile repair, financial management, etc.). In this paper we combine this two concepts to annotate models with meta-data according to the corresponding domain ontology with all the new extracted information in order to improve the performance of the entire system.