Lionel TAILHARDAT

Research papers

In conferences

Youssra REBBOUD, Pasquale LISENA, Lionel TAILHARDAT, and Raphaël TRONCY. 2024. “Benchmarking LLM-based Ontology Conceptualization: A Proposal”. In The 23rd International Semantic Web Conference (ISWC), Special Session on LLMs, November 11–15, 2024, Baltimore, USA. CEUR-WS.org/Vol-3953/365.pdf [hal-04757816, EURECOM access].
Lionel TAILHARDAT, Yoan CHABOT, Antoine PY, Perrine GUILLEMETTE. 2024. “NORIA UI: Efficient Incident Management on Large-Scale ICT Systems Represented as Knowledge Graphs”. In The 19th International Conference on Availability, Reliability and Security (ARES 2024), July 30-August 2, 2024, Vienna, Austria. 10.1145/3664476.3670438 [pres-pdf, demo-video, EURECOM access].
Lionel TAILHARDAT, Benjamin STACH, Yoan CHABOT, Raphaël TRONCY. 2024. “Graphaméléon : apprentissage des relations et détection d’anomalies sur les traces de navigation Web capturées sous forme de graphes de connaissances”. In 35es Journées francophones d’Ingénierie des Connaissances (IC 2024) @ Plate-Forme Intelligence Artificielle (PFIA 2024), July 01-05, 2024, La Rochelle, France. Best paper award. hal-04636018 [pres-pdf, EURECOM access, IC2024 proceedings].
Youssra REBBOUD, Lionel TAILHARDAT, Pasquale LISENA, and Raphaël TRONCY. 2024. “Can LLMs generate competency questions?” In 21st European Semantic Web Conference (ESWC), Special Track on Large Language Models for Knowledge Engineering, May 26-30, 2024, Hersonissos, Greece. hal-04564055 [Videolectures.net pres-video, EURECOM access].
Lionel TAILHARDAT, Raphaël TRONCY, and Yoan CHABOT. 2024. “NORIA-O: An Ontology for Anomaly Detection and Incident Management in ICT Systems”. In 21st European Semantic Web Conference (ESWC), Resources track, May 26-30, 2024, Hersonissos, Greece. Best paper award nominee. 10.1007/978-3-031-60635-9_2 [pres-pdf, Videolectures.net pres-video, IETF119-pres-pdf, EURECOM access].
Lionel TAILHARDAT, Benjamin STACH, Yoan CHABOT, and Raphaël TRONCY. 2024. “Graphameleon: Relational Learning and Anomaly Detection on Web Navigation Traces Captured as Knowledge Graphs”. In The Web Conf, May 13-17, 2024, Singapore. 10.1145/3589335.3651447 [teaser-video, teaser-pdf, pres-pdf, EURECOM access].
Lionel TAILHARDAT, Raphaël TRONCY, and Yoan CHABOT. 2023. “Leveraging Knowledge Graphs For Classifying Incident Situations in ICT Systems”. In The 18th International Conference on Availability, Reliability and Security (ARES 2023), August 29-September 1, 2023, Benevento, Italy. ACM, New York, NY, USA, 9 pages. 10.1145/3600160.3604991 [pres-pdf, EURECOM access].
Lionel TAILHARDAT, Raphaël TRONCY, and Yoan CHABOT. 2023. “Designing NORIA: a Knowledge Graph-based Platform for Anomaly Detection and Incident Management in ICT Systems”. In KGCW’23: 4th International Workshop on Knowledge Graph Construction, May 28, 2023, Crete.
CEUR-WS.org, online CEUR-WS.org/Vol-3471/paper3.pdf [pres-pdf].
Lionel TAILHARDAT, Raphaël TRONCY, and Yoan CHABOT. 2022. “Walks in Cyberspace: Improving Web Browsing and Network Activity Analysis with 3D Live Graph Rendering”. In Companion Proceedings of the Web Conference 2022 (WWW ’22 Companion), April 25–29, 2022, Virtual Event, Lyon, France. ACM, New York, NY, USA, 6 pages. 10.1145/3487553.3524230 [ACM SIGWEB pres-video, pres-pdf].

In journals

Didier BRINGER, Lionel TAILHARDAT. “DSecO: Domain Name System (DNS) Data as a Knowledge Graph for Enhanced Security Analysis”. IEEE Transactions on Networking – Special Issue on AI and Networking, 2025, vol. xx, number xx, pages xx–xx, 10.1109/TON.2025.3598374 [preprint-hal-04887392].

Talks, posters, demos and posts

Lionel TAILHARDAT. “Anomaly Detection using Knowledge Graphs and Synergistic Reasoning”. Presentation at the L’Ingénierie des Connaissances à l’ère de l’apprentissage Neuro-Symbolique, des Modèles HYbrides et autres approches (HYNSIC) day, Association EGC, Paris, 2025 [pres-pdf].
Lionel TAILHARDAT. “I want a KG-based Digital Twin, and that’s all I (want to) know – or from Technology Readiness Level 4 to above with Knowledge Engineering and Data Model Operations?”. Presentation at the Knowledge Graphs For Data Integration (KG4DI) workshop, FWO Scientific Research Network, De Krook, 2024 [pres-pdf].
Lionel TAILHARDAT. “Anomaly detection for telco companies: challenges and opportunities in knowledge graph construction”. Keynote at the Fifth International Workshop on Knowledge Graph Construction (KGCW), 2024 [pres-pdf].
Yoan CHABOT, Lionel TAILHARDAT, Perrine GUILLEMETTE, and Antoine PY. “NORIA: Network anomaly detection using knowledge graphs”. Blog post, 2024 [Hello Future].
Lionel TAILHARDAT, Yoan CHABOT, Perrine GUILLEMETTE, and Antoine PY. “Semantical anomaly sensing - Recommend remediation solutions using knowledge graphs”. Software platform prototype presented at the Orange Open Tech Days (OOTD), November 2023, Châtillon, France [event-book].
Lionel TAILHARDAT, Yoan CHABOT, Raphaël TRONCY. “NORIA : machiNe learning, Ontology and Reasoning for the Identification of Anomalies”. Position poster for the IA2 autumn school. Orange-Eurecom, 2021 september [pdf].

Research and technical reports

Michael MACKEY, Bohdan YERIEMIENKO, Beyza YAMAN BEYZA, Lionel TAILHARDAT, Pauline FOLZ. “Knowledge Graphs For Network Operations”. IETF 124 Hackathon project presentation, 2025-11. [ietf-124-wiki, pres-pdf]
Lionel TAILHARDAT, Yoan CHABOT, Raphaël TRONCY. “Anomaly Detection using Knowledge Graphs: A Survey for Network Management and Cybersecurity Application”. Preprint. 2025. hal-04930539.
Tong HU, Luis M. CONTRERAS, Qin WU, Nigel DAVIS, Chong FENG. “A YANG Data Model for Network Incident Management”. IETF Internet Draft, NMOP group. 2025. draft-ietf-nmop-network-incident-yang.
Mohamed BOUCADAIR, Luis Miguel CONTRERAS MURILLO, Oscar GONZALES de DIOS, Thomas GRAF, Reshad RAHMAN, Lionel TAILHARDAT. “RFC 3535, 20 Years Later: An Update of Operators Requirements on Network Management Protocols and Modelling”. IETF Internet Draft, NMOP group. 2024. draft-boucadair-nmop-rfc3535-20years-later. Presented at the IAB workshop on the Next Era of Network Management Operations (nemopsws), 2024-12.
Lionel TAILHARDAT, Raphaël TRONCY, Yoan CHABOT. “Knowledge Graphs for Enhanced Cross-Operator Incident Management and Network Design”. IETF Internet Draft, NMOP group. 2024. draft-tailhardat-nmop-incident-management-noria. Presented at the IETF NMOP 2024 interim meeting n°3 [IETF-NMOP-2024-09-11-pres-pdf], and IETF NMOP 2025 interim meeting n°3 [IETF-NMOP-2025-05-21-pres-pdf].
Mihary RANAIVOSON, Lionel TAILHARDAT, et Yoan CHABOT. “Intégration de données dans un graphe de connaissances pour la détection d’anomalies sur le réseau”. Mémoire & présentation. Orange & Polytech Marseille, 16 septembre 2022.
Bertrand DECOCQ, et al. “Methodology to assess network resilience”. Research report. Orange, july 2022.
Lionel TAILHARDAT. “MillionLogs: discrimination-classification de logs par mesure de similarité et d’entropie positionnelle”. Rapport de recherche. Orange, mars 2019.
Lionel TAILHARDAT. “Arbres de causalité et phénomènes de diffusion d’alarmes”. Rapport de recherche. Orange, février 2019.
Maria EL HINDY, et Lionel TAILHARDAT. “Orchestration de la Supervision”. Mémoire & présentation. Orange & IMT Atlantique, 14 septembre 2018.
Lionel TAILHARDAT. “Cartographie et Plans de Services”. Rapport de tests & présentations. GlobeCast France, 2015-2016.
Lionel TAILHARDAT. “Authentification unique et Plan de Reprise d’Activité pour les outils d’exploitation”. Etude technico-économique & tests. GlobeCast France, 23 juin 2014.

Thesis

PhD thesis

Lionel TAILHARDAT, supervised by Raphaël TRONCY and Yoan CHABOT. “Anomaly Detection using Knowledge Graphs and Synergistic Reasoning - Application to Network Management and Cyber Security”. EURECOM & Orange, September 30th 2024. NNT:2024SORUS293 [manuscript, pres-pdf].

Datascience thesis

Lionel TAILHARDAT. “Localisation d’un incident en moins de 15 minutes, une approche par les graphes”. Mémoire & présentation. Orange & Polytech, 23 mai 2019.

Master thesis

Lionel TAILHARDAT. “Automatisation des tests de redondance du réseau Orange M.I.D.”. Mémoire & présentation. Orange & CNAM, 8 juin 2018.
Lionel TAILHARDAT. “Les techniques de géolocalisation en WIFI: principes, performances, comparaison”. Synthèse bibliographique & tests. CNAM, 24 mai 2016. [manuscript]
Lionel TAILHARDAT, et Arsène MOUAMBOUMA. “xDSL (VDSL, SDSL, …) : la montée en débit”. Présentation. CNAM, 7 avril 2016.
Lionel TAILHARDAT. “Télécommunications spatiales et espace lointain: caractéristiques, performances, perspectives”. Présentation. CNAM, 12 décembre 2015. [pres-pdf]
Lionel TAILHARDAT. “Supervision des transmissions audiovisuelles en contexte d’opérateur”. Mémoire & présentation. GlobeCast France & CNAM, décembre 2013.