Brahim BATOUCHE

– Interoperability of thesaurus and Integration of Data: PMKI project – Data quality: clean up and check of expressivity level of data – Improvement of data expressivity by using Web sematic technology – Natural Language processing for sentence sequence – Modulization/ representation of thesaurus – Use of Unsupervised machine learning (Gaz neuronal), Clustering – Visualization of extracted knowledge – AWS command and Shell command and script (.sh, .ksh) at Linux – Financial fraud and money laundering detection (BEI) – Study and recommendation of the best data science technologies – Federated and Analitical data architecture (OLAP) – ETL/ELT pipelines to Warehouse/Data Lake – Ensure data quality and reliability for industrial analytics – Open Linked data e-participation project (open source for legal proposition) – Fix e-democracy business requirements: citizen add post/amendment – Pipelines from user interfaces to knowledge graph in Triple store – Centralized and Analytical (OLAP) data architecture – Define structure of knowledge graph and URI of resource – Modulization of ontology and implementation: post, amendment, – Visualization of statistic knowledge basing on criteria's as: country of citizen, – Implemented CI/CD workflows for data infrastructure – Documentation: Applications schema in using BPMN, java doc – Information Architect CDM ontology and Cellar projects – Modulization/Update CDM ontology according to business requirements – Study data complexity (triples size) regarding big update of ontology – Automatic generation of SHACL shapes from CDM ontology – Automatic generation of ontology documentation from rdf/owl files to xhtml – Automatic detection and visualization of change between different xml files – Manage indexation files at Cellar. – Applications schema in using BPMN. – AWS command, Shell command and script (.sh, .ksh) at Linux

– NLP/Data analytics: Perciles project collaboration with Airbus company – Naturel Language processing (NLP) to treat aircraft maintenance manual – Then generate rdf triples from text, Knowledge graph from text – Sparql interface to request the stored rdf triples

– Areas: Simulation, multi objectives optimization

– Areas: Data base modulization and development of management application