Abstract. Recent research and development have created the necessary ingredients for a major push in web-scale language understanding: large repositories of structured knowledge (DBpedia, the Google knowledge graph, Freebase, YAGO) progress in language processing (parsing, information extraction, computational semantics), linguistic knowledge resources (Treebanks, WordNet, BabelNet, UWN) and new powerful techniques for machine learning. A major goal is the automatic aggregation of knowledge from textual data. A central component of this endeavor is relation extraction (RE). In this paper, we will outline a new approach to connecting repositories of world knowledge with linguistic knowledge (syntactic and lexical semantics) via web-scale relation extraction technologies.