The challenge of measuring semantic similarity between words is to find a method that can
simulate the thinking process of human. The use of computers to quantify and compare …

As a valuable tool for text understanding, semantic similarity measurement enables
discriminative semantic-based applications in the fields of natural language processing …

Motivation: Measures of protein functional similarity are essential tools for function
prediction, evaluation of protein–protein interactions (PPIs) and other applications. Several …

Studying the surface water systems of the earth is important for many fields, from biology to
agriculture to tourism. Much of the data relevant to surface water systems are stored in …

Methods of semantic relatedness are essential for wide range of tasks such as information
retrieval and text mining. This paper, concerned with these automated methods, attempts to …

Automatically identifying the intended sense of ambiguous words improves the performance
of clinical and biomedical applications. This paper by proposing Optimized Gloss Vector …

Automatic methods of ontology alignment are essential for establishing interoperability
across web services. These methods are needed to measure semantic similarity between …

In manufacturing enterprises the Product Lifecycle Management (PLM) approach has been
considered as an essential solution for improving the product competitive ability. It aims at …

Measures of semantic relatedness are largely applicable in intelligent tasks of NLP and
Bioinformatics. By taking these automated measures into account, this paper attempts to …

Semantic relatedness measures are widely used in text mining and information retrieval
applications. Considering these automated measures, in this research paper we attempt to …