Semantic similarity is a metric that measures the likeness of meaning or semantic content between a set of documents or terms. These metrics are mathematical tools that provide a numerical description of the strength of the semantic relationship between language units, concepts, or instances. This description is obtained by comparing the information that supports their meaning or describes their nature. It's important to note that semantic similarity should not be confused with semantic relatedness. While semantic relatedness encompasses any relation between two terms, semantic similarity specifically includes "is a" relations. For example, "car" is similar to "bus," but it is also related to "road" and "driving." 

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