Graph integration of structured, semistructured and unstructured data for data journalism

Digital data is a gold mine for modern journalism. However, datasets which interest journalists are extremely heterogeneous, ranging from highly structured (relational databases), semi-structured (JSON, XML, HTML), graphs (e.g., RDF), and text. Journalists (and other classes of users lacking advanced IT expertise, such as most non-governmental-organizations, or small public administrations) need to be able make sense heterogeneous corpora, even if they lack the ability define deploy custom extract-transform-load workflows, especially dynamically varying sets sources. We describe complete approach integrating dynamic along lines described above: challenges we faced useful, allow their integration scale, solutions proposed these problems. Our implemented within ConnectionLens system; validate it through set experiments.