Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …

Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …

As an effective data representation, storage, management, calculation and model for
analysis, ontology has attracted more and more attention by researchers and it has been …

This article presents a comprehensive review of stacking methods commonly used to
address the challenge of automatic semantic similarity measurement in the literature. Since …

The recent information problematic issue is the rapid data growth [1]. Text similarity
measurement is a text mining approach that could be overcome this overwhelming problem …

Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …

In recent times, we have seen an explosion in the number of new solutions to address the
problem of semantic similarity. In this context, solutions of a neuronal nature seem to obtain …

The problem of automatically measuring the degree of semantic similarity between textual
expressions is a challenge that consists of calculating the degree of likeness between two …

In recent decades, exploring potential relationships between diseases has been an active
research field. With the rapid accumulation of disease-related biomedical data, a lot of …

Taxonomies are the mainstay of the semantic web as they aim at organising knowledge in
concepts linked by IS-A relationships. However, keeping such hierarchies updated and able …