  The Semantic Web is becoming a large scale framework that enables data to be
published, shared, and reused in the form of ontologies. The ontology which is
considered as basic building block of semantic web consists of two layers
including data and schema layer. With the current exponential development of
ontologies in both data size and complexity of schemas, ontology understanding
which is playing an important role in different tasks such as ontology
engineering, ontology learning, etc., is becoming more difficult. Ontology
summarization as a way to distill knowledge from an ontology and generate an
abridge version to facilitate a better understanding is getting more attention
recently. There are various approaches available for ontology summarization
which are focusing on different measures in order to produce a proper summary
for a given ontology. In this paper, we mainly focus on the common metrics
which are using for ontology summarization and meet the state-of-the-art in
ontology summarization.
