Linguistically motivated ontology mapping for the Semantic Web

Knowledge Sharing is a crucial issue in the Semantic Web: SW services expose and share knowledge content (expressed through ontologies and related knowledge bases) arising from distinct languages, locales, and personal perspectives; in this scenario, semantic alignment approaches play a pivotal role, providing viable solutions for integrating heterogeneous resources, still maintaining their local independence. We focus here on a 3-step approach to ontology mapping, which is strongly based on the exploitation of (monolingual and multilingual) linguistic resources for content publishing and discovery, and on a human intervention for supervising the process and assessing semantic links between mapped resources. Our methodology is also being supported by the development of dedicated tools for accompanying knowledge engineers and users across the different steps of creating and integrating ontology resources.