Within scientific community, there is a certain consensus to define" Big Data" as a global set,
through a complex integration that embraces several dimensions from using of research …

Increasing videos available in educational content repositories makes searching difficult,
and recommendation systems have been used to help students and teachers receive a …

Robust estimation of concept similarity is crucial for applications of AI in the commercial,
biomedical, and publishing domains, among others. While the related task of word similarity …

Abstract Interconnecting Internet of Things (IoT) devices creates a network of services
capable of working together to accomplish certain goals in different domains. The …

The emergence of online social networks (OSNs) and linked open data (LOD) bring up
opportunities to experiment on a new generation of cross-domain recommender systems in …

The web of data is a set of deeply linked resources that can be instantly read and
understood by both humans and machines. A vast amount of RDF data has been published …

Web services are subject to changes during their lifetime, such as updates in data types,
operations, and the overall functionality. Such changes may impact the way Web services …

Abstract Context-aware Service Discovery process is the task of identifying relevant services
that could satisfy user needs while considering contextual information. Depending on such …

Tourists often face the problem of planning itineraries that cover the most interesting
attractions and best match their preferences and constraints. We have proposed a …

Semantic similarity measures are metrics that analyze knowledge sources such as
ontologies to produce a similarity score between compared concepts. They are used in …