Department of Computer, Control and Management Engineering

In the field of digital humanities, the mode of information consumption constitutes a fundamental factor in the quality of research. The structuring of data into knowledge graphs provides a valuable tool for navigating concepts and exploring new ideas. However, the information are often spread across multiple sources with different data organizations (schema, taxonomy, etc.) if not, in some cases, even different data formats. These differences between sources generate a fragmentation of knowledge, and, in order to obtain an effective quality consultation, they have to be explored alltogether. In this paper, an approach for exploring multiple knowledge graphs using visual representation is discussed.