DOI link for Semantic Similarity
Semantic Similarity book
As we have seen in previous chapters, ontologies consist of well-defined concepts that are connected to one another by semantic relations. This has inspired a number of algorithms that exploit these relationships in order to define similarity measures for terms or groups of terms in ontologies. Semantic similarity measures have been used in computational biology as a way of validating results of gene expression clustering, prediction of molecular interactions, disease gene prioritization, and for clinical diagnostics, among other things. A large number of different methods for calculating semantic similarity have been developed since the seminal paper of Resnik . In this chapter we will review a number of well-known semantic similarity measures, and will explain how they can be used in applications.