Mining Wikipedia and relating named entities over time

In this paper we present an approach to mining information relating people, places, organizations and events extracted from Wikipedia and linking them on a time scale. The approach consists of two phases: categorizing the articles as containing people, places or organizations; linking the named entities and extracting events and their time frame. We illustrate the approach on 1.7 million Wikipedia articles describing some unique concept.