  In the modern era, abundant information is easily accessible from various
sources, however only a few of these sources are reliable as they mostly
contain unverified contents. We develop a system to validate the truthfulness
of a given statement together with underlying evidence. The proposed system
provides supporting evidence when the statement is tagged as false. Our work
relies on an inference method on a knowledge graph (KG) to identify the
truthfulness of statements. In order to extract the evidence of falseness, the
proposed algorithm takes into account combined knowledge from KG and
ontologies. The system shows very good results as it provides valid and concise
evidence. The quality of KG plays a role in the performance of the inference
method which explicitly affects the performance of our evidence-extracting
algorithm.
