D’Aquin, Mathieu

Full Professor, Université de Lorraine (IDMC)

Team leader

Publications

2025

Journal

  1. On the role of knowledge graphs in AI-based scientific discovery. Mathieu D’aquin. Journal of Web Semantics, Elsevier.

Other publications

  1. Ontological Relations from Word Embeddings. Mathieu D’aquin, Emmanuel Nauer.
  2. Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivity. Liudmyla Klochko, Mathieu D’aquin, Atsushi Togo, Laurent Chaput.

2024

Journal

  1. Design and architecture of the CARA infrastructure for visualising and benchmarking patient data from general practice. Nathaly Garzón-Orjuela, Agustin Garcia Pereira, Heike Vornhagen, Katarzyna Stasiewicz, Sana Parveen, Doaa Amin, Lukasz Porwol, Mathieu D’aquin, Claire Collins, Fintan Stanley, Mike O’callaghan, Akke Vellinga. BMJ Health & Care Informatics.

Book

  1. Think before loading. Karën Fort, Marc Anderson, Aurore Coince, Mathieu D’aquin, Maxime Amblard, Sarah Carter, Ilaria Tiddi, Diane Ranville.

Conference paper

  1. Exploitation et appréhension de la correspondance d’Henri Poincaré. Prunelle D. Treuil, Mathieu D’aquin, Olivier Bruneau, Jean Lieber, Emmanuel Nauer, Laurent Rollet. In proceedings of Journée Intelligence Artificielle Et Humanités Numériques, Paris (Bibliothèque Nationale de France), France.
  2. PyGraft: un outil Python pour la génération de schémas et graphes de connaissance synthétiques. Nicolas Hubert, Pierre Monnin, Mathieu D’aquin, Davy Monticolo, Armelle Brun. In proceedings of 35es Journées francophones d’Ingénierie des Connaissances (IC 2024) @ Plate-Forme Intelligence Artificielle (PFIA 2024), La Rochelle, France.
  3. PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips. Nicolas Hubert, Pierre Monnin, Mathieu D’aquin, Davy Monticolo, Armelle Brun. In proceedings of ESWC 2024 - 21st International Conference on Semantic Web, Hersonissos, Greece.

2023

Conference paper

  1. Finding Concept Representations in Neural Networks with Self-Organizing Maps. Mathieu D’aquin. In proceedings of K-CAP ’23: Knowledge Capture Conference 2023, Pensacola FL USA, United States.

  2. TaBIIC: Taxonomy Building Through Iterative and Interactive Clustering. Mathieu D’aquin. In proceedings of Formal Ontology in Information Systems, FOIS 2023, online, Canada. Nathalie Aussenac-Gilles, Torsten Hahmann, Antony Galton, Maria M. Hedblom (eds). 2023.

  3. Combining representation formalisms for reasoning upon mathematical knowledge. Mathieu D’aquin, Renata Bunoiu, Horatiu Cirstea, Michel Lenczner, Jean Lieber, Frédéric Zamkotsian. In proceedings of K-CAP ’23: Knowledge Capture Conference 2023, Pensacola FL USA, United States.

  4. Lazy Adaptation Knowledge Learning Based on Frequent Closed Itemsets. Emmanuel Nauer, Jean Lieber, Mathieu d’Aquin. In proceedings of International Conference on Cased-Based Reasoning (ICCBR 2023), Aberdeen, United Kingdom.

  5. Engineering Data Assets for Public Health Applications: A Covid-19 Case Study. Michael Scriney, Mohan Timilsina, Edward Curry, Lukasz Porwol, Dongyun Nie, Darren Dahley, Jaime Fernandez, Mathieu D’aquin, Mark Roantree. In proceedings of 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy.

  6. Introducing CALMED: Multimodal Annotated Dataset for Emotion Detection in Children with Autism. Annanda Sousa, Karen Young, Mathieu D’aquin, Manel Zarrouk, Jennifer Holloway. In proceedings of HCII 2023: Universal Access in Human-Computer Interaction, Copenhagen, Denmark.

2022

Journal

  1. Efficient distributed path computation on RDF knowledge graphs using partial evaluation. Qaiser Mehmood, Muhammad Saleem, Alokkumar Jha, Mathieu D’aquin. World Wide Web, Springer Verlag.
  2. Extracting data models from background knowledge graphs. Daniela Oliveira, Mathieu D’aquin. Knowledge-Based Systems, Elsevier.
  3. Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. Mohan Timilsina, Vít Nováček, Mathieu D’aquin, Haixuan Yang. Neural Networks, Elsevier.

Conference paper

  1. A Factorial Study of Neural Network Learning from Differences for Regression. Mathieu D’aquin, Emmanuel Nauer, Jean Lieber. In proceedings of International Conference on Case-Based Reasoning, ICCBR 2022, Nancy, France.

2021

Journal

  1. Semi-supervised regression using diffusion on graphs. Mohan Timilsina, Alejandro Figueroa, Mathieu D’aquin, Haixuan Yang. Applied Soft Computing, Elsevier.

Conference paper

  1. LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification. Lucas Azevedo, Mathieu D’aquin, Brian Davis, Manel Zarrouk. In proceedings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Online, France.

2020

Conference paper

  1. Uncovering Semantic Bias in Neural Network Models Using a Knowledge Graph. Andriy Nikolov, Mathieu D’aquin. In proceedings of CIKM ’20: The 29th ACM International Conference on Information and Knowledge Management, Online/Galway, Ireland.

2019

Journal

  1. One Size Does Not Fit All: Querying Web Polystores. Yasar Khan, Antoine Zimmermann, Alokkumar Jha, Vijay Gadepally, Mathieu d’Aquin, Ratnesh Sahay. IEEE Access, IEEE.
  2. Robot–City Interaction: Mapping the Research Landscape—A Survey of the Interactions Between Robots and Modern Cities. Ilaria Tiddi, Emanuele Bastianelli, Enrico Daga, Mathieu D’aquin, Enrico Motta. International Journal of Social Robotics, Springer.

Conference paper

  1. Towards the Prediction of Semantic Complexity Based on Concept Graphs. Rémi Venant, Mathieu d’Aquin. In proceedings of 12th International Conference on Educational Data Mining (EDM 2019), Montreal, Canada. Collin F. Lynch, Agathe Merceron, Michel Desmarais, Roger Nkambou (eds). 2019.

2018

Journal

  1. Privacy, security and policies: A review of problems and solutions with semantic web technologies. Sabrina Kirrane, Serena Villata, Mathieu D’aquin. Open Journal Of Semantic Web, Research Online Publishing (RonPub).

Conference paper

  1. Towards an “Ethics by Design” Methodology for AI Research Projects. Mathieu D’aquin, Pinelopi Troullinou, Noel O’Connor, Aindrias Cullen, Gráinne Faller, Louise Holden. In proceedings of AIES ’18: AAAI/ACM Conference on AI, Ethics, and Society, New Orleans LA USA, France.

2014

Proceedings

  1. Proceedings of the Workshop on Linked Data for Knowledge Discovery (LD4KD 2014). Nicolas Jay, Mathieu d’Aquin, Illaria Tiddi. Nicolas Jay, Illaria Tiddi, Mathieu D’Aquin (eds). 2014.

  2. The Semantic Web: Trends and Challenges. Valentina Presutti, Claudia d’Amato, Fabien Gandon, Mathieu d’Aquin, Steffan Staab, Anna Tordai. Valentina Presutti, Claudia d’Amato, Fabien Gandon, Mathieu d’Aquin, Steffen Staab, Anna Tordai (eds). 2014.

2013

Journal

  1. Decentralized case-based reasoning and Semantic Web technologies applied to decision support in oncology. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. Knowledge Engineering Review, Cambridge University Press (CUP).

Conference paper

  1. Linked Data and Online Classifications to Organise Mined Patterns in Patient Data. Nicolas Jay, Mathieu d’Aquin. In proceedings of Proceedings of the AMIA 2013 Annual Symposium, Washington, United States.
  2. Interpreting data mining results with linked data for learning analytics: motivation, case study and directions. Mathieu d’Aquin, Nicolas Jay. In proceedings of LAK - Third International Conference on Learning Analytics and Knowledge - 2013, Leuven, Belgium.

2012

Conference paper

  1. Characterizing Modular Ontologies. Sarra Ben Abbès, Andreas Scheuermann, Thomas Meilender, Mathieu d’Aquin. In proceedings of 7th International Conference on Formal Ontologies in Information Systems - FOIS 2012, Graz, Austria.

2011

Conference paper

  1. Extracting relevant questions to an RDF dataset using formal concept analysis. Mathieu D’aquin, Enrico Motta. In proceedings of K-CAP ’2011: Knowledge Capture Conference, Banff, Canada.

2010

Research report

  1. Context-based matching revisited. Patrick Hoffmann, Mathieu d’Aquin, Jérôme Euzenat, Chan Le Duc, Marta Sabou, François Scharffe.

2009

Conference paper

  1. Formally Measuring Agreement and Disagreement in Ontologies. Mathieu D’aquin. In proceedings of K-CAP 2009 - 5th international conference on Knowledge capture, Redondo Beach, CA, United States.

Research report

  1. Ontology distances for contextualisation. Jérôme Euzenat, Carlo Allocca, Jérôme David, Mathieu d’Aquin, Chan Le Duc, Ondrej Sváb-Zamazal.

2008

Journal

  1. Modeling adaptation of breast cancer treatment decision protocols in the Kasimir project. Jean Lieber, Mathieu D’aquin, Fadi Badra, Amedeo Napoli. Applied Intelligence, Springer Verlag.

Conference paper

  1. Edhibou: a Customizable Interface for Decision Support in a Semantic Portal. Fadi Badra, Mathieu d’Aquin, Jean Lieber, Thomas Meilender. In proceedings of 7th International Semantic Web Conference - ISWC 2008, Karlsruhe, Germany. Christian Bizer and Anupam Joshi (eds). 2008.

Research report

  1. Matching ontologies for context: The NeOn Alignment plug-in. Chan Le Duc, Mathieu d’Aquin, Jesús Barrasa, Jérôme David, Jérôme Euzenat, Raul Palma, Rosario Plaza, Marta Sabou, Boris Villazón-Terrazas.
  2. D1.1.4: NeOn Formalism for Modularization: Implementation and Evaluation. Mathieu d’Aquin, Peter Haase, Chan Le Duc, Antoine Zimmermann.
  3. D1.1.3: NeOn Formalisms for Modularization: Syntax, Semantics, Algebra. Mathieu d’Aquin, Peter Haase, Sebastian Rudolph, Jérôme Euzenat, Antoine Zimmermann, Martin Dzbor, Marta Iglesias, Yves Jacques, Caterina Caracciolo, Carlos Buil Aranda, Gomez Jose Manuel.

Other publications

  1. Decision support systems in oncology: Are we there yet?. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli.

2007

Journal

  1. La représentation de points de vue dans le système d’aide à la décision en cancérologie KASIMIR. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. Revue des Sciences et Technologies de l’Information - Série L’Objet : logiciel, bases de données, réseaux, Hermès-Lavoisier.

Conference paper

  1. Case Base Mining for Adaptation Knowledge Acquisition. Mathieu d’Aquin, Fadi Badra, Sandrine Lafrogne, Jean Lieber, Amedeo Napoli, Laszlo Szathmary. In proceedings of Twentieth International Joint Conference on Artificial Intelligence - IJCAI’07, Hyderabad, India. Morgan Kaufmann, Inc. (eds). 2007.

Research report

  1. Matching ontologies for context. Jérôme Euzenat, Antoine Zimmermann, Marta Sabou, Mathieu d’Aquin.

2006

Journal

  1. Adaptation Knowledge Acquisition: a Case Study for Case-Based Decision Support in Oncology. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. Computational Intelligence, Wiley.

Book chapter

  1. Towards a Semantic Portal for Oncology using a Description Logic with Fuzzy Concrete Domains. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. Elie Sanchez (eds). 2006.

Conference paper

  1. Raisonnement à partir de cas décentralisé pour le Web sémantique. Mathieu d’Aquin. In proceedings of 14e Atelier de Raisonnement à Partir de Cas, Besançon, France.

  2. Adaptation Knowledge Discovery from a Case Base. Mathieu d’Aquin, Fadi Badra, Sandrine Lafrogne, Jean Lieber, Amedeo Napoli, Laszlo Szathmary. In proceedings of Proceedings of the 17th European Conference on Artificial Intelligence (ECAI-06), Trento.

  3. Vers l’implantation d’un moteur d’inférences pour une logique de descriptions avec domaine concret flou. Mathieu d’Aquin, Julien Cojan, Jean Lieber, Amedeo Napoli. In proceedings of Rencontres francophones sur la Logique Floue et ses Applications - LFA-06, Toulouse, France. Didier Dubois et Henri Prade (eds). 2006.

  4. Case-Based Reasoning Within Semantic Web Technologies. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. In proceedings of The Twelfth International Conference on Artificial Intelligence: Methodology, Systems and Applications - AIMSA’2006, Varna/Bulgarie. Jérôme Euzenat and John Domingue (eds). 2006.

2005

Journal

  1. Knowledge Editing and Maintenance Tools for a Semantic Portal in Oncology. Mathieu d’Aquin, Christophe Bouthier, Sébastien Brachais, Jean Lieber, Amedeo Napoli. International Journal of Human-Computer Studies, Elsevier.

Conference paper

  1. Decentralized Case-Based Reasoning for the Semantic Web. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. In proceedings of 4th International Semantic Web Conference - ISWC 2005, Galway/Irelande. Yolanda Gil, Enrico Motta, V. Richard Benjamins, Mark A. Musen (eds). 2005.

  2. Vers une utilisation du critère pessimiste de Wald pour aider à la décision à partir de cas. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. In proceedings of 13ème Atelier Raisonnement à partir de cas, Nice.

2004

Conference paper

  1. Decision Support and Knowledge Management in Oncology using Hierarchical Classification. Mathieu d’Aquin, Sébastien Brachais, Jean Lieber, Amedeo Napoli. In proceedings of Proceedings of the Symposium on Computerized Guidelines and Protocols - CGP-2004, Prague, Czech Republic. Katherina Kaiser and Silvia Miksch and Samson W. Tu (eds). 2004.

  2. Vers une acquisition automatique de connaissances d’adaptation par examen de la base de cas — une approche fondée sur des techniques d’extraction de connaissances dans des bases de données. Mathieu d’Aquin, Sébastien Brachais, Jean Lieber, Amedeo Napoli. In proceedings of 12ème Atelier de Raisonnement à Partir de Cas - RàPC’04, Université Paris Nord, Villetaneuse, France. Rushed Kanawati and Sylvie Salotti and Farida Zehraoui (eds). 2004.

  3. Kasimir : portail sémantique pour la gestion des connaissances en cancérologie. Mathieu d’Aquin, Sébastien Brachais, Jean Lieber, Amedeo Napoli. In proceedings of Second séminaire francophone du Web Sémantique Médical - WSM 2004, Rouen, France.

  4. Kasimir : gestion de connaissances décisionnelles en cancérologie. Mathieu d’Aquin, Sébastien Brachais, Jean Lieber, Amedeo Napoli. In proceedings of Modélisation et pilotage des systèmes de Connaissances et de Compétences dans les Entreprises Industrielles - C2EI’04, Nancy, France. Emmanuel Caillaud, Muriel Lombard, Jean Renaud (eds). 2004.

  5. Étude de quelques logiques de descriptions floues et de formalismes apparentés. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. In proceedings of Rencontres francophones sur la logique floue et ses applications - LFA’04, Nantes, France. Jacky Montmain (eds). 2004.

  6. Représentation de points de vue pour le raisonnement à partir de cas. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. In proceedings of Langages et Modèles à Objets - LMO’04, Lille, France.

2003

Conference paper

  1. Vers un Web sémantique en cancérologie. Sébastien Brachais, Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. In proceedings of Première journée Web sémantique médical - WSM’2003, Rennes, France.
  2. Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support. Jean Lieber, Mathieu d’Aquin, Pierre Bey, Amedeo Napoli, Maria Rios, Catherine Sauvagnac. In proceedings of 9th Conference on Artificial Intelligence in Medicine in Europe2003 - AIME 2003, Protaras, Chypre.
  3. Un modèle de connaissances en RDF(S) pour raisonner à partir de cas sur le Web sémantique. Mathieu d’Aquin. In proceedings of Atelier raisonnement à partir de cas - Plate-forme AFIA, Laval.

Research report

  1. Adaptation Knowledge Acquisition, a Study for Breast Cancer Treatment. Jean Lieber, Mathieu d’Aquin, Pierre Bey, Amedeo Napoli, Maria Rios, Catherine Sauvagnac.
  2. Knowledge Edition and Maintenance Tools for a Semantic Portal in Oncology. Mathieu d’Aquin, Christophe Bouthier, Sébastien Brachais, Jean Lieber, Amedeo Napoli.

2002

Conference paper

  1. The Kasimir Project: Knowledge Management in Cancerology. Jean Lieber, Mathieu d’Aquin, Pierre Bey, Benoît Bresson, Olivier Croissant, Pierre Falzon, Anne Lesur, Julien Lévêque, Vanina Mollo, Amedeo Napoli, Maria Rios, Catherine Sauvagnac. In proceedings of 4th International Workshop on Enterprise Networking and Computing in Health Care Industry - HealthCom 2002, Nancy, France.
  2. Représentation multi-points de vue des connaissances pour l’adaptation. Mathieu d’Aquin, Jean Lieber, Amedeo Napoli. In proceedings of 10ème séminaire français de raisonnement à partir de cas - RàPC’2002, Paris, France. Marie-Christine Jaulent and Christel Le Bozec and Eric Zapletal (eds). 2002.

2001

Conference paper

  1. Combining Symbolic and Numeric Techniques for Database Content Analysis. Yannick Toussaint, Jean-Charles Lamirel, Mathieu d’Aquin. In proceedings of AI/IEA01, none.
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