Project description

Hybrid Artificial Intelligence

Launched in September 2021 for a period of 4 years, the Business Semantics for Multi-source Data Exploitation (SMD) project is the third project of the “Artificial Intelligence and Augmented Engineering” (AI2) research program. Its ambition is to develop and test, for knowledge management professions involved in the project, methods and that hybridize symbolic AI, the recent artificial methods (ex. Deep Learning) with the expert’s collaboration  to build and exploit knowledge from heterogeneous multi-source data. These tools have the ambition to support expert decision in static or dynamic environments.

The challenge of this project is to prototype the ability to integrate and analyze very large volumes of unstructured, multi-source heterogeneous data to construct new, relevant, synthetic and interpretable knowledge that will help experts to make informed decisions, such as identifying ambiguities in the resulted ontologies, detecting weak signals or atypical situation, for example.

Implemented skills

Data science and AI

Targeted markets

The scope of this project may concern the following markets: defence and security, railway networks, electricity production and suppliers, equipment suppliers (analysis of calls for tender), suppliers of content analysis technologies and multimedia data, etc.