A semantic multi-lingual method for publishing linked open data

Nowadays, there has been an increment of open data initiatives promoting the freely publication of data produced by public administrations (such as public spending, health care, education etc.). However, the great majority of these data are published in an unstructured format (such as spreadsheets or CSV) and is typically accessed only by closed communities. To address this problem, we propose a semiautomatic multi-lingual and semantic method for facilitating resource providers in publishing public data into the Linked Open Data (LOD) cloud, and for helping consumers (companies and citizens) in efficiently accessing and querying them. The method has been applied on a real case on a set of data provided in Italian.