  In this position paper we present a new approach for discovering some special
classes of assertional knowledge in the text by using large RDF repositories,
resulting in the extraction of new non-taxonomic ontological relations. Also we
use inductive reasoning beside our approach to make it outperform. Then, we
prepare a case study by applying our approach on sample data and illustrate the
soundness of our proposed approach. Moreover in our point of view current LOD
cloud is not a suitable base for our proposal in all informational domains.
Therefore we figure out some directions based on prior works to enrich datasets
of Linked Data by using web mining. The result of such enrichment can be reused
for further relation extraction and ontology enrichment from unstructured free
text documents.
