Latest articles
Building Knowledge Graph RAG solution from Model Driven Engeneering – Part 1
Building Knowledge Graphs for RAG from Famix Models Large Language Models (LLMs) are impressively good at understanding code — but they also hallucinate. When reasoning about an unfamiliar codebase, an LLM can fabricate methods, classes, or relationships that don’t exist. This is a real problem when we ask them to help us navigate, understand, or modify software. The usual remedy is Retrieval-Augmented Generation (RAG) : instead of relying only on what the model “remembers”, we
Equipment 3D visualization in a CMMS application-1st part
Computer-aided maintenance systems aim at assisting administration and maintenance agents in their missions of assets maintenance (building, network, air conditioning, faucets, etc). Assets may have different representations in different geospatial data sources (2D or 3D) that can help to have a better understanding of them by providing new information. Though, using those data often leads
Mono2Micro-MDE : An end-to-end approach towards migrating a monolithic application towards a microservice-oriented architecture
Find the first migration approach in these articles: article 1 & article 2 In this section, we introduce a broad overview of the different phases which constitute our global MDE-based migration workflow. In short, our workflow (see Figure 1) encompasses 4 important steps : Extracting a model from the source application. Identifying the application’s candidate
Image analysis for Maintenance intervention request classification
Technologies and systems for automation of maintenance tasks and equipment management are used in several cases of different business fields like security or food-processing industry for instance. The technologies used have reached a maturation stage allowing their use in real case, according to practical application specificity. However, it remains uncertainties about developing an approach allowing
Backend monolithic app to microservices architecture migration – 2nd part
Find the first part of the article by following this link In the first part article, we’ve explained how to identify microservices candidates by extracting the layered architecture artifacts from the existing code of a monolithic application. Several approaches address this first step, though they either do not address the materialization step or complete this
BL.Conecta, the future kernel of city’s intermediation platforms?
Context Since few years, we observe the rise of intermediation platforms and web services consumption used through these multitude of platforms. The fact is that intermediation environments put in relation a producer/seller with a web user/consumer to enable a transaction (sales, exchange, share of products or services) that create value. Intermediation platforms are used as
🇫🇷 Comment l’Intelligence Aritificielle va-t-elle nous aider ? (Lien)
Backend monolithic app to microservices architecture migration – 1st part
Generally, companies software are built in a three part system: a client side/user interface, a database, and a side-server application called a monolith. Monoliths are often built as a single logical executable, in a single-tiered with multiple layers: presentation, business logic, and data-access. These apps are easy to design and develop, though they are difficult
Maintenance queries classification with NLP
When our client equipment needs maintenance intervention for any reason, they can request it through Carl Source, our CMMS software. Those intervention queries will be received by the technical service which will analyze it, pre-qualify it and associate it to an intervention type before scheduling it. Some interventions are more urgent to other and some
Proof of concept : Interoperability Java – MS Access by Benoît Verhaeghe and Julien Morgan de Rivery
We led this project to determine the possibility to control a Microsoft Access 2013 application (or more recent versions) from a Java program to enable its migration.We’ve set up a two-steps approach: A first step to allow the utilization of Access software Application Programming Interface (API). Then, we studied the API to let us manipulate
Semantic relationship generating
Relationship identification in documents is part of a project about knowledge graph.A knowledge graph is a way to graphically present semantic relationship between subjects like peoples, places, organizations etc. which makes possible to synthetically show a body of knowledge. For instance, figure 1 present a social media knowledge graph, we can find some information about
26th Annual Congress of Franco-German Business Clubs: AI and Humanity – Envisioning the Future: Franco-German Perspectives (Montpellier – France)
7th IFAC/INSTICC International Conference on Innovative Intelligent Industrial Production and Logistics – IN4PL 2026 (Angers – France)
25th International Semantic Web Conference – ISWC 2026 (Bari – Italy)
25th International Symposium on Mixed and Augmented Reality – IEEE ISMAR 2026 (Bari – Italy)
22nd International Conference on Semantic Systems – SEMANTICS 2026 (Ghent – Belgium)
42th International Conference on Software Maintenance and Evolution – ICSME 2026 (Benevento – Italy)
Sophie de Thoré guest on Pari ETI on BFM Business: Innovation, Growth and Digital Transformation
The digital transformation of public and private organisations, business resilience in the face of economic change, and responsible innovation were the focus of discussions on the Pari ETI programme broadcast on BFM Business. On this occasion, Sophie de Thoré spoke on behalf of Berger-Levrault, alongside Jérôme de Lavergnolle (Saint Louis), Jean-Luc Gunéard (LPR) and Augustin
A New Milestone in Building a European AI Ecosystem for Industry
Last Friday marked a significant step forward for the European ecosystem of artificial intelligence applied to industry. After more than a year of close collaboration, the report resulting from the Franco-German dialogue on industrial AI was officially presented to French and German authorities during a dedicated forum held at the Ministry of Economy. This initiative,
Yearbook Research & Innovation 2025: Governed, Responsible, and reality-based Research!
We are proud to announce the publication of our 2025 Research & Innovation Yearbook! More than just an annual review, this document marks a structural shift in the way we design and conduct research. Innovation is no longer seen as a simple technological promise, but as a demanding discipline, confronted with the constraints of reality
Camille Dupré Ph.D. thesis defense: “Pad-based Interaction in Mixed Reality environments”
Thursday 18th December at 2p.m. Paris time, Camille Dupré, Ph.D. Candidate has defended her thesis named “Pad-based Interaction in Mixed Reality environments”. Her thesis defense took place at the LISN, in Gif-sur-Yvette (660 Av. des Sciences Bâtiment, 91190), France. Take a look at the summary below. Summary Mixed Reality (MR) environments integrate virtual elements into
Nihed Bendahman Ph.D. thesis defense: “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”
Monday 15th December at 2p.m. Paris time, Nihed Bendahman, Ph.D. Candidate has defended her thesis named “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”. Her thesis defense took place at the IRIT Research Laboratory, in Toulouse, France. Take a look at the summary below. Summary Legal monitoring is a
Gabriel Darbord Ph.D. thesis defense: “Automatic test generation to help modernize our applications”
Friday 5th December at 9a.m. Paris time, Gabriel Darbord, Ph.D. Candidate has defended his thesis named “Automatic test generation to help modernize our applications”. His thesis defense took place in Lille, France. Take a look at the summary below. This thesis is fully in line with the partnership between Berger-Levrault and Inria, which aims to
Berger-Levrault strengthens its ties with AI startups!
We are proud to announce that we have joined Hub France IA, the largest association dedicated to artificial intelligence in France. This network now brings together more than 250 members—companies, startups, research laboratories, and institutions—who share the same goal: to accelerate the development and adoption of AI in France and Europe. Getting closer to the
Celebrating New PhDs from the BL.Research Team!
At Berger-Levrault, research is more than a mission—it’s a shared adventure. As the new academic year begins, we are proud to celebrate the success of four of our colleagues from the BL.Research team, who have reached a major milestone in their scientific journeys: the defense of their doctoral theses. These achievements are the result of
