Rule Mining for Semantifying Wikilinks

Wikipedia-centric Knowledge Bases (KBs) such as YAGO and DBpedia store the hyperlinks between articles in Wikipedia using wikilink relations. While wikilinks are signals of semantic connection between entities, the meaning of such connection is most of the times unknown to KBs, e.g., for 89% of wikilinks in DBpedia no other relation between the entities is known. The task of discovering the exact relations that hold between the endpoints of a wikilink is called wikilink semantication . In this paper, we apply rule mining techniques on the already semantied wikilinks to propose relations for the unsemantied wikilinks in a subset of DBpedia. By mining highly supported and condent logical rules from KBs, we can semantify wikilinks with very high precision.