An ontology is widely used in many kinds of applications
as a knowledge representation tool for domain knowledge.
However, even though an ontology schema is well prepared by
domain experts, it is tedious and cost-intensive to add instances
into the ontology. The most confident and trust-worthy way to add
instances into the ontology is to gather instances from tables in the
related Web pages. In automatic populating of instances, the primary
task is to find the most proper concept among all possible concepts
within the ontology for a given table. This paper proposes a novel
method for this problem by defining the similarity between the table
and the concept using the overlap of their properties. According to
a series of experiments, the proposed method achieves 76.98% of
accuracy. This implies that the proposed method is a plausible way
for automatic ontology population from Web tables.