A semantic approach for cultural heritage ontology matching and integration based on textual and multimedia information

In the digital era, where more and more complex tasks are demanded by automatic agents, often provided with artificial intelligence, the problem of data management and information extraction has assumed an increasingly central role. In particular, the process of obtaining information from data has to face manifold issues due to the large volume and heterogeneity of data sources. In this context, a domain or a concept of the real world can have several representations in different data sources. Therefore, there is a need for methods and tools for automatically reorganizing and reusing information embedded in data. The main purpose of this work is to describe a framework for ontology matching and merging based on a novel approach that exploits multimedia information as a combination of text and images. We also present and discuss a case study on Cultural Heritage to assess and evaluate the effectiveness of our proposed approach.