Abstract: A process for optimizing storage space of a messaging server that stores electronic messages. Sets of messages may be processed to identify redundant elements, such as common text clauses or attachments, that appear in multiple messages. These redundant elements may be stored and removed from the associated messages. When a message is read, the removed elements may be replaced in the message at their original positions to reconstruct the original message.

Abstract: A method for digitally modeling an industrial space, the industrial space including a plurality of pieces of equipment (E3) disposed in an industrial building (B), the modeling method including a step of three-dimensionally digitizing the industrial space so as to obtain a web (NAP) defining meshes representing the outer envelope of the industrial space with all of its pieces of equipment (E3), a step of real-time segmenting the web (NAP) in a virtual environment by a user during which: a bounding box (F) is positioned to bound at least one piece of equipment to be segmented (E3), and the points of the web (NAP), belonging to the volume of the bounding box (F), are associated so as to form a virtual object (OBJ).

Abstract: The present invention relates to a platform and a method for the “elevation” of sources of heterogeneous data into interconnected semantic data, the platform comprising at least one “ontology selection” module for generating semantic data, said module being formed by at least one “ontology search” layer, one “ontology quality metrics” layer and one “ontological similarity measurements” layer, a “data conversion” module for converting the format of the semantic data produced by the selection module into RDF format, a “data interconnection” module for creating links between the semantic data converted to RDF format by means of a tool set, said platform containing at least one hardware and computer architecture for executing the data “elevation” process via executable instructions.

Abstract: The present invention relates to a device for processing large-scale data streams (big data), comprising a knowledge base, a hardware and software assembly constituting a front-end communication device for capturing the streams of the external medium and if needed restoring data to this medium, the front-end delivering the streams to a platform where it undergoes different processings, traces are collected and stored in a storage and memory architecture during execution of processing operations, the platform producing data which supply a decision-making device comprising a hardware and software assembly defining decision rules for either triggering actions or initiating retroactions to the front-end communication device or to the knowledge base of said processing device.