One of the most significant papers in this collection is by Phillip Cimiano, Aleksander Pivk, Lars Schmidt-Thieme, and Steffen Staab, entitled "Learning taxonomic relations from heterogeneous sources of evidence."
in their chapter "Unsupervised text mining for the learning of DOGMA-inspired ontologies," Marie-Laurie Reinberger and Peter Spyns cluster terms by using a shallow parser and identifying some types of relations by using prepositions.