Semantic similarity has become, in recent years, the backbone of numerous knowledge-
based applications dealing with textual data. From the different methods and paradigms …

The quantification of the semantic similarity between terms is an important research area
that configures a valuable tool for text understanding. Among the different paradigms used …

A key application of ontologies is the estimation of the semantic similarity between terms. By
means of this assessment, the comprehension and management of textual resources can be …

Ontologies are widely adopted in the biomedical domain to characterize various resources
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …

Semantic similarity assessment between concepts is an important task in many language
related applications. In the past, several approaches to assess similarity by evaluating the …

In recent years, semantic similarity measure has a great interest in Semantic Web and
Natural Language Processing (NLP). Several similarity measures have been developed …

Semantic-similarity measures quantify concept similarities in a given ontology. Potential
applications for these measures include search, data mining, and knowledge discovery in …

Most of the intelligent knowledge-based applications contain components for measuring
semantic similarity between terms. Many of the existing semantic similarity measures that …

Ontologies, as representation of shared conceptualization for variety of specific domains, are
the heart of the Semantic Web. In order to facilitate interoperability across multiple …

Finding similarity between concepts based on semantics has become a new trend in many
applications (eg, biomedical informatics, natural language processing). Measuring the …