Topic Calculation and Clustering: An Application to Wikipedia

Wikipedia is nowadays one of the most valuable information resources; nevertheless, its current structure, which has no formal organization, does not allow to always have a useful browsing among topics. Moreover, even though most Wikipedia pages include a "See Also" section for navigating through those articles\´ related Wikipedia pages, the only references included here are those which authors are aware of, leading to incompleteness and other irregularities. In this work, a method for finding related Wikipedia articles is proposed; this method relies on a framework that clusters documents into semantically-calculated topics and selects the closest documents which could enrich the "See Also" section.