This paper presents a method to integrate external knowledge sources such as DBpedia
and OpenCyc into an ontology learning system that automatically suggests labels for
unknown relations in domain ontologies based on large corpora of unstructured text. The
method extracts and aggregates verb vectors from semantic relations identified in the
corpus. It composes a knowledge base which consists of (i) verb centroids for known
relations between domain concepts,(ii) mappings between concept pairs and the types of …