Publications and Research

📕 Journal Articles

• [ArxiV 2025] Camille Barboule, Benjamin Piwowarski, and Yoan Chabot. Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends.. In ArxiV.
• [Transactions on Graph Data and Knowledge 2025] Lucas Jarnac, Yoan Chabot, Miguel Couceiro. Uncertainty Management in the Construction of Knowledge Graphs: a Survey. In Transactions on Graph Data and Knowledge, 3(1), 3-1.
• [Journal of Web Semantics 2023] Jixiong Liu, Yoan Chabot, Raphaël Troncy, Viet-Phi Huynh, Thomas Labbé and Pierre Monnin. From Tabular Data to Knowledge Graphs: A Survey of Semantic Table Interpretation Tasks and Methods. In Journal of Web Semantics, volume 76, 2023.
• [Digital Investigation 2015] Yoan Chabot, Aurélie Bertaux, Christophe Nicolle and Tahar Kechadi. An ontology-based approach for the reconstruction and analysis of digital incidents timelines. In Digital Investigation, 15, pages 83-100, 2015.
• [Digital Investigation 2014] Yoan Chabot, Aurélie Bertaux, Christophe Nicolle and Tahar Kechadi. A complete formalized knowledge representation model for advanced digital forensics timeline analysis. In Digital Investigation, 11, pages 95-105, 2014.

📗 Research Papers in Conferences

• [ArxiV 2024] Camille Barboule, Viet-Phi Huynh, Adrien Bufort, Yoan Chabot, Géraldine Damnati, Gwénolé Lecorvé. TelcoLM: collecting data, adapting, and benchmarking language models for the telecommunication domain. In ArxiV.
• [GRASEC 2024] Lionel Tailhardat, Yoan Chabot, Antoine Py and Perrine Guillemette. NORIA UI: Efficient Incident Management on Large-Scale ICT Systems Represented as Knowledge Graphs. In GRASEC workshop, International Conference on Availability, Reliability and Security (ARES), Vienna, Austria, July 30-August 2, 2024.
• [IC 2024] Lionel Tailhardat, Benjamin Stach, Yoan Chabot and Raphaël Troncy. Graphaméléon : apprentissage des relations et détection d’anomalies sur les traces de navigation Web capturées sous forme de graphes de connaissances. In Research Track, IC 2024, La Rochelle, France, July 1-5, 2024. Best paper award
• [ESWC 2024] Lionel Tailhardat, Raphaël Troncy and Yoan Chabot. NORIA-O: An Ontology for Anomaly Detection and Incident Management in ICT Systems. In Resource Track, 21st European Semantic Web Conference (ESWC), Hersonissos, Greece, May 26-30, 2024.
• [TheWebConf 2024] Lionel Tailhardat, Benjamin Stach, Yoan Chabot and Raphaël Troncy. Graphameleon: Relational Learning and Anomaly Detection on Web Navigation Traces Captured as Knowledge Graphs. In the ACM on Web Conference 2024 (TheWebConf), Singapore, May 13-17, 2024.
• [ARES 2023] Lionel Tailhardat, Raphaël Troncy and Yoan Chabot. Leveraging Knowledge Graphs For Classifying Incident Situations in ICT Systems. In 4th International Workshop on Graph-based Approaches for CyberSecurity (GRASEC), 8th International Conference on Availability, Reliability and Security (ARES’23), Benevento, Italy, August 29-September 1st, 2023.
• [VLDB 2023] Viet-Phi Huynh, Yoan Chabot and Raphaël Troncy. Towards Generative Semantic Table Interpretation. In Tabular Data Analysis (TaDA) Workshop, 49th International Conference on Very Large Data Bases (VLDB’23), Vancouver, Canada, August 28-September 1st, 2023.
• [IC 2023] Jixiong Liu, Viet-Phi Huynh, Yoan Chabot and Raphaël Troncy. Des données tabulaires aux graphes de connaissances: état de l’art des méthodes d’interprétation sémantique de tables.. In IC2023, Strasbourg, France, July 3-7, 2023.
• [ESWC 2023] Lionel Tailhardat, Raphaël Troncy and Yoan Chabot. Designing NORIA: a Knowledge Graph-based Platform for Anomaly Detection and Incident Management in ICT Systems. In 4th International Workshop on Knowledge Graph Construction (KGCW’23), Extended Semantic Web Conference (ESWC’23), Crete, May 28-June 1st, 2023.
• [ISWC 2022] Viet-Phi Huynh, Yoan Chabot, Thomas Labbé, Jixiong Liu and Raphaël Troncy. From Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH. In Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2022, 21st International Semantic Web Conference (ISWC’22), remote, China, October 23-27, 2022.
• [ISWC 2022] Jixiong Liu, Viet-Phi Huynh, Yoan Chabot and Raphaël Troncy. Radar Station: Using KG Embeddings for Semantic Table Interpretation and Entity Disambiguation. In Research Track, 21st International Semantic Web Conference (ISWC’22), remote, China, October 23-27, 2022.
• [IC 2022] Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin and Raphaël Troncy. DAGOBAH: Annotation sémantique de données tabulaires par comparaison du contexte des tables et d’un graphe de connaissances. In IC2022, St-Etienne, France, June 29-July 1st, 2022. Best Paper Award.
• [TheWebConf2022] Lionel Tailhardat, Raphaël Troncy and Yoan Chabot. Walks in Cyberspace: Improving Web Browsing and Network Activity Analysis with 3D Live Graph Rendering. In Web developer and W3C, TheWebConf2022, remote, Lyon, France, April 25-29, 2022.
• [ISWC 2021] Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin and Raphaël Troncy. DAGOBAH: Table and Graph Contexts For Efficient Semantic Annotation of Tabular Data. In Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2021, 20th International Semantic Web Conference (ISWC’21), remote, USA, October 24-28, 2021.
• [ISWC 2021] Yoan Chabot, Pierre Monnin, Frédéric Deuzé, Viet-Phi Huynh, Thomas Labbé, Jixiong Liu and Raphaël Troncy. A Framework for Automatically Interpreting Tabular Data at Orange. In Industry Track, 20th International Semantic Web Conference (ISWC’21), remote, USA, October 24-28, 2021.
• [ISWC 2020] Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Thomas Labbé, Pierre Monnin and Raphaël Troncy. DAGOBAH: Enhanced Scoring Algorithms for Scalable Annotations of Tabular Data. In Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2020, 19th International Semantic Web Conference (ISWC’20), Athens (remote), Greece, November 1-6, 2020.
• [IC 2020] Yoan Chabot, Thomas Labbé, Jixiong Liu and Raphaël Troncy. DAGOBAH : Un système d’annotation sémantique de données tabulaires indépendant du contexte. In Ingénierie des Connaissances 2020 (IC2020), Angers (remote), France, June 29-July 3, 2020.
• [ISWC 2019] Yoan Chabot, Thomas Labbé, Jixiong Liu and Raphaël Troncy. DAGOBAH: An End-to-End Context-Free Tabular Data Semantic Annotation System. In Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2019, 18th International Semantic Web Conference (ISWC’19), Auckland, New Zealand, October 26-30, 2019.
• [EGC 2015] Yoan Chabot, Aurélie Bertaux, Christophe Nicolle and Tahar Kechadi. De la scène de crime aux connaissances: représentation d’évènements et peuplement d’ontologie appliqués au domaine de la criminalistique informatique. In 12 ème atelier sur la Fouille de Données Complexes, In 15th Conférence Francophone sur l’Extraction et la Gestion des Connaissances (EGC’15), Luxembourg, Luxembourg, January 27-30, 2015.
• [EISIC 2014] Yoan Chabot, Aurélie Bertaux, Christophe Nicolle and Tahar Kechadi. Automatic timeline construction and analysis for computer forensics purposes. In 1st IEEE Joint Intelligence and Security Informatics Conference (IEEE JISIC’14), The Hague, Netherlands, September 24-26, 2014.

💡 Patents

• Targeted triplet extraction from text documents using generative AI, 2025
• Verbalization of tabular data through semantic table annotation and LLM prompting, 2024
• Question-and-answer system using generative AI based on a knowledge graph with a collaborative exploration interface, 2024
• Targeted knowledge graph enrichment using generative AI, 2024
• System and process to upload a document on a device depending of the informations not yet consulted, 2024
• System and process to determine the subjects of a document, 2024
• System and process to create a new document by aggregation of parts of documents, each treating a part of a subject, 2024

🏆 Challenges

• [ISWC 2022] 1st prize (Accuracy Track) in Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2022, 21th International Semantic Web Conference (ISWC’22), remote, China, October 23-27, 2022.
• [ISWC 2021] 1st prize (Accuracy Track) in Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2021, 20th International Semantic Web Conference (ISWC’21), remote, USA, October 24-28, 2021.
• [ISWC 2020] 3rd Prize in Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2020, 19th International Semantic Web Conference (ISWC’20), Athens (remote), Greece, November 1-6, 2020.

💻 Demos/Posters in Conferences

• [GDR TAL 2023] Camille Barboule, Viet-Phi Huynh, Adrien Bufort, Yoan Chabot, Thomas Labbé, Gwénolé Lecorvé, Ghislain Putois. Adaptation of language models to Orange’s domains. In GDRL TAL 2023, Nantes, France, September 7, 2023.
• [ISWC 2022] Viet-Phi Huynh, Yoan Chabot, Thomas Labbé, Jixiong Liu and Raphaël Troncy. From Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH. In Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2022, 21st International Semantic Web Conference (ISWC’22), remote, China, October 23-27, 2022.
• [ESWC 2022] Christophe Sarthou-Camy, Guillaume Jourdain, Yoan Chabot, Pierre Monnin, Frédéric Deuzé, Viet-Phi Huynh, Jixiong Liu, Thomas Labbé and Raphaël Troncy. DAGOBAH UI: A New Hope For Semantic Table Interpretation. In 19th European Semantic Web Conference (ESWC’22), Hersonissos, Greece, May 29-June 2, 2022.
• [ISWC 2021] Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin, Raphaël Troncy and Guillaume Dive. DAGOBAH: Table and Graph Contexts For Efficient Semantic Annotation of Tabular Data. In Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2021, 20th International Semantic Web Conference (ISWC’21), remote, USA, October 24-28, 2021.
• [IA2 2021] Lionel Tailhardat, Yoan Chabot, Raphaël Troncy. NORIA : machiNe learning, Ontology and Reasoning for the Identification of Anomalies. In IA2 autumn school, Paris, France, September 27-October 1 2021.
• [EGC 2020] Denis Collange, Arnoult Vial, Yoan Chabot and Marc Antoine Mouilleron. Prédiction de la qualité des vins du Mâconnais. In 20th Conférence Francophone sur l’Extraction et la Gestion des Connaissances (EGC’20), Bruxelles, Belgique, January 27-31, 2020.
• [EGC 2019] Yoan Chabot, Patrick Grohan, Gilles Le Calvez and Christèle Tarnec. Dataforum : Faciliter l’échange, la découverte et la valorisation des données à l’aide de technologies sémantiques. In 19th Conférence Francophone sur l’Extraction et la Gestion des Connaissances (EGC’19), Metz, France, January 21-25, 2019.
• [EGC 2014] Yoan Chabot, Aurélie Bertaux, Christophe Nicolle and Tahar Kechadi. Reconstruction et analyse sémantique de chronologies cybercriminelles. In 14th Conférence Francophone sur l’Extraction et la Gestion des Connaissances (EGC’14), Rennes, France, January 28-31, 2014.

👨‍🏫 Keynote/Talks in Conferences

• [SemWeb.Pro 2021] Yoan Chabot, Pierre Monnin and Thomas Labbé. DAGOBAH : Des outils pour l’interprétation automatique de données tabulaires. In SemWeb.Pro 2021, Remote, December 9, 2021. Video here
• [EGC 2021] Yoan Chabot and Pierre Monnin. DAGOBAH : Activité de recherche Orange autour de l’annotation sémantique de données tabulaires. In 5 ème atelier TextMine sur la fouille de Textes, In 21th Conférence Francophone sur l’Extraction et la Gestion des Connaissances (EGC’21), Montpellier (remote), France January 25-29, 2021.

📘 Book Chapters

• [IGI 2015] Yoan Chabot, Aurélie Bertaux, Christophe Nicolle and Tahar Kechadi. Event reconstruction: A state of the art. In Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance, pages 231-245, 2015. IGI Global.
• [IGI 2015] Yoan Chabot and Christophe Nicolle. Semantic Measures. In Encyclopedia of Information Science and Technology, pages 4690-4698, 2015. IGI Global.

👨‍🎓 PhD Thesis

• [Thesis 2015] Yoan Chabot. Construction, Enrichment and Semantic Analysis of Timelines: Application to Digital Forensics, University College Dublin, Dublin, Ireland and University of Burgundy, Dijon, France, 2014. PhD Supervisors : Christophe Nicolle, Aurélie Bertaux and Tahar Kechadi.

📰 In Press

• [Hello Future 2024] Yoan Chabot, Lionel Tailhardat, Perrine Guillemette and Antoine Py. NORIA: Network anomaly detection using knowledge graphs. In Orange Hello Future Research Blog, 2024.
• [POC Media 2021] “Orange veut exploiter les données dormantes des entreprises”. In blog POC Media, 2021.
• [IMTECH 2020] “DAGOBAH: Tables, AI will understand”. In blog I’MTech, 2020.
• [Hello Future 2020] Thomas Labbé, Yoan Chabot, Jixiong Liu and Raphaël Troncy. DAGOBAH: Make Tabular Data Speak Great Again. In Orange Hello Future Research Blog, 2020.
• [Hello Future 2020] Yoan Chabot, Patrick Grohan and Christèle Tarnec. Data sharing and processing: the new Tower of Babel?. In Orange Hello Future Research Blog, 2020.
• [Hello Future 2017] Yoan Chabot, Gilles Privat and Fano Ramparany. Ontologies for the rest of us!. In Orange Hello Future Research Blog, 2017.

📑 Roles

Journal Reviewer

• IEEE Transactions on Knowledge and Data Engineering since 2023
• Journal of Web Semantics since 2021
• Computers & Security since 2018
• Digital Investigation since 2016
• Expert Systems with Applications since 2015

Senior program comitee member

• ESWC 2024
• ESWC 2023

Program commitee member

• TheWebConf2024, TheWebConf2023, TheWebConf2022
• ESWC 2022, ESWC 2021, ESWC 2020
• EGC 2021
• K-CAP 2023, K-CAP 2021, K-CAP 2019

Orange Expert since 2023

I have been an Orange Expert since 2023, specializing in the Data-AI community. This community brings together experts from various fields within the company to provide guidance and insight on complex topics, particularly in data and artificial intelligence. As part of this group, I contribute my knowledge and experience to support innovative solutions and help drive the company’s growth in these dynamic areas.