A time machine for information

Abstract

With the abundant availability of information one can mine from the Web today, there is increasing interest to develop a complete understanding of the history of an entity (i.e., a person, a company, a music genre, a country, etc.) (see, for example, [7, 9, 10, 11]) and to depict trends over time [5, 12, 13]. This, however, remains a largely difficult and manual task despite more than a couple of decades of research in the areas of temporal databases and data integration.