The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing
among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial …

Semantic integration became an attractive area of research in several disciplines, such as
information integration, databases and ontologies. Huge amount of data is still stored in …

The past few years have been marked by an increased use of sensor technologies,
abundant availability of mobile devices, and growing popularity of wearables, which enable …

From time to time there have been different models of data integration to manage and
analyze data. Also with the emergence of big data, the database community has proposed …

Polystore systems have been recently proposed as a new data integration model to provide
integrated access to heterogeneous data stores through a unified single query language …

The importance of triangle meshes with a special kind of connectivity, the so-called
subdivision connectivity is still growing. Therefore it is important to develop efficient …

Most of nowadays Web content is stored in relational data-bases. It is important to develop
ways for representation of this information in the Semantic Web to allow software agents to …

Integration of heterogeneous data sources is a difficult task for providing users with the
unified interface without semantic heterogeneity problems. We can classify this type of …

Les principales limitations des systèmes d'intégration de données existants sont soit leur
absence d'automatisation en l'absence d'une ontologie partagée, soit l'absence d'autonomie …

The rapid growth of the Internet makes information available anywhere and anytime. Most
businesses run Web-based front-end databases upon which online services are of-fered to …