Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …

The explosive growth of textual data on the web coupled with the increase on demand for
ontologies to promote the semantic web, have made the automatic ontology construction …

Ontologies are often viewed as the answer to the need for interoperable semantics in
modern information systems. The explosion of textual information on the Read/Write Web …

Estimation of the semantic likeness between words is of great importance in many
applications dealing with textual data such as natural language processing, knowledge …

The information content (IC) of a concept provides an estimation of its degree of generality/
concreteness, a dimension which enables a better understanding of concept's semantics. As …

Rapid growth of web and its applications has created a colossal importance for
recommender systems. Being applied in various domains, recommender systems were …

Semantic similarity estimation is an important component of analysing natural language
resources like clinical records. Proper understanding of concept semantics allows for …

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 …

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 …

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 …