Data analysis, data management, and big data play a major role in both social and business
perspective, in the last decade. Nowadays, the graph database is the hottest and trending …

Manufacturing industry needs access to the data in order to realise its activities but also to
generate new value-added knowledge. Nevertheless, it is confronted with a large and …

Model-based engineering is an emerging paradigm to deal with the complexity of multi-
disciplinary engineering in CPPS projects. In such projects, different kinds of models are …

Since its very conception Building Information Modeling incorporates the notion of using
digital models—rich in geometric and semantic information—throughout the whole life cycle …

During the manufacturing product life cycle, an increasing volume of data is generated and
stored in distributed resources. These data are heterogeneous, explicitly and implicitly …

Manufacturing industry data are distributed, heterogeneous and numerous, resulting in
different challenges including fast, exhaustive and relevant querying of data. In order to …

Manufacturing industry data are distributed, heterogeneous and numerous, resulting in
different challenges including the fast, exhaustive and relevant querying of data. In order to …

This chapter is focused on the technical aspects of semantic data integration that provides
solutions for bridging semantic gaps between common project-level concepts and the local …

Cyber-Physical Production Systems (CPPSs) engineering relies on the effective and efficient
coordination and collaboration of participating engineers from various disciplines implying a …

En premier lieu, je tiens à remercier l'ensemble de l'encadrement de cette thèse. Merci donc
à Philippe VERON, Esma YAHIA et Frédéric SEGONDS pour leurs soutiens et …