The evaluation of semantic relatedness between web resources is still an open challenge.
This paper focuses on knowledge-based methods that provide an alternative to corpus …

We present the parametric method SemSim p aimed at measuring semantic similarity of
digital resources. SemSim p is based on the notion of information content, and it leverages a …

Semantic search is an important approach that promises significant improvements for
customers to identify products of their interest. To perform semantic search, enterprises need …

This paper presents SemSime, a method based on semantic similarity for searching over a
set of digital resources previously annotated by means of concepts from a weighted …

This paper presents a method for semantic search and retrieval in the context of networked
enterprises that share services, competencies (knowledge), and a reference ontology (RO) …

Semantic search is the new frontier for the search engines of the last generation. Advanced
semantic search methods are exploring the use of weighted ontologies, ie, domain …

An increasing number of recent information retrieval systems makes use of ontologies to
help the users to detail queries and to come up with semantic representations of documents …

Semantic similarity search is one of the most promising methods for improving the
performance of retrieval systems. This paper presents a new probabilistic method for …

The aim of concept weighting in ontologies or in other data graphs is to characterise the
importance of each concept in a specific domain, and to determine its selective power. This …

In this paper, we present an evolution of a novel approach for evaluating semantic similarity
in a taxonomy, based on the well-known notion of information content. Such an approach …