Projects
Current projects
Orange:
  - 
    
AI4Sec: Exploring how AI can enhance the security of networks and operations (2025 - ongoing).
    Related on-line resources,
    
      - DSecO, an RDF data model for DNS configuration assessment.
 
    
   
  - 
    
Knowledge Graphs at the company scale (2025 - on-going).
    See the “I want a KG-based Digital Twin, and that’s all I (want to) know” presentation (2024) [pres-pdf] made at the KG4DI workshop for an overview of the challenges to be addressed.
   
D2KLab:
  - 
    
Facilitating knowledge engineering tasks with large language models (2024 - ongoing).
    Related on-line resources,
    
      - LLM4KE, a dataset of RDF data models, and code for generating competency questions.
 
    
   
Past projects
Orange:
  - 
    
Synergy between knowledge graphs and machine learning for the detection of anomalies (2020 - 2024).
    Related on-line resources,
    
      - NORIA-O, an RDF data model for IT networks, events and operations information.
 
      - Dynagraph, network dumping and Web app for live 3D graph rendering of streamed graph data derived from traces.
 
      - Graphamelon, a Web extension that captures Web navigation traces and transforms them into a RDF graph for further exploration.
 
      - Graphamelon-ds, an RDF dataset of Web navigation traces, generated by the Graphameleon Web extension.
 
      - grlc, a fork of CLARIAH/grlc with SPARQL UPDATE and GitLab interface features.
 
      - SMASSIF-RML, a Semantic Web stream processing solution with declarative data mapping capability based on a modified version of the RMLMapper-java tool and extensions to the StreamingMASSIF framework.
 
      - ssb-consum-up, a Kafka to SPARQL gateway enabling end-to-end Semantic Web data flow architecture with a Semantic Service Bus (SSB) approach.
 
      - SemNIDS, bringing semantics into Network Intrusion Detection Systems.
 
    
    See the “NORIA: Network anomaly detection using knowledge graphs” blog post (2024) [Hello Future] for an overview of the topic.
   
  - Merging graphs and time-series techniques to predict network issues and reduce the root-cause search space (2018 - 2019).
 
  - Knowledge and process mining on network issues remediation to facilitate root-cause analysis and remediation automation (2018 - 2019).
 
  - Automating the resilience tests of an IP-MPLS backbone (2017 - 2018).
 
Activities
                
                    
                    
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