Clustering structures are one of the most important aspects of complex networks. Minimum
spanning tree (MST), the tree that connects all vertices with minimum total weight, can be …

Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …

Advances in sensor data collection technology, such as pervasive and embedded devices,
and RFID Technology have lead to a large number of smart devices which are connected to …

Despite the intense interest towards realizing the Semantic Web vision, most existing RDF
data management schemes are constrained in terms of efficiency and scalability. Still, the …

Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …

In this work we present GOAL (Genetics for Ontology Alignments) a new approach to
compute the optimal ontology alignment function for a given ontology input set. Although this …

Linked Data allows structured data to be published in a standard manner so that datasets
from diverse domains can be interlinked. By leveraging Semantic Web standards and …

Nowadays, there are a lot of techniques and tools for addressing the ontology matching
problem; however, the complex nature of this problem means that the existing solutions are …

Gazetteers are more than basic place name directories containing names and locations for
named geographic places. Most of them contain additional information, including a …

This paper describes a novel approach to the description and discovery of Semantic Web
services. We propose SPARQL as a formal language to describe the preconditions and …