Amira Mouakher
Présentation
I am currently an Associate Professor at UMR Espace-Dev, University of Perpignan, a position I've held since September 2022. I specialize in data mining and knowledge discovery, and I earned my Ph.D. in Computer Science from the Faculty of Sciences of Tunis, University of Tunis El Manar. Prior to joining UMR Espace-Dev, I was a research fellow at CIAS and worked as an Assistant Professor at Corvinus University in Budapest from February 2021 to August 2022.
My research focuses on applying data-driven approaches, particularly in Big Data analytics, with a strong emphasis on sustainable urban mobility. I also work in knowledge modeling, where I use ontologies to gain deeper insights across various domains.
Additionally, I have expertise in artificial intelligence, particularly in eXplainable AI (XAI) and the construction of knowledge graphs. This work enhances the interpretability and transparency of AI systems, while also organizing complex information structures. My approach integrates AI, data analysis, and knowledge representation to solve real-world problems in a multidisciplinary way.
For more details about my work, you can view a selection of my publications on my DBLP page:
Publications
Publications
Combining knowledge graphs and generative AI to explain the consequences of climatic events on the health of maasai herdersRencontres des Jeunes Chercheurs en Intelligence Artificielle, Jun 2025, Dijon, France |
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Leveraging Knowledge Graphs for Earth System Dataset DiscoveryInternational Semantic Web Conference, Nov 2024, Baltimore, United States. pp.271-288, ⟨10.1007/978-3-031-77847-6_15⟩ |
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Can Knowledge Graphs and Retrieval-Augmented Generation be combined to Explain Query/Answer Relationships Truthfully?DAO-XAI 2024 Data meets Ontologies in Explainable AI co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), Roberto Confalonieri; Oliver Kutz; Diego Calvanese; Dagmar Gromann; Andreas Holzinger, Oct 2024, Santiago de Compostela, Spain. 7p |
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Enhancing downstream tasks in Knowledge Graphs Embeddings: A Complement Graph-based Approach Applied to Bilateral TradeKnowledge-Based and Intelligent Information and Engineering Systems, Sep 2023, Athene, Greece. pp.3692-3700, ⟨10.1016/J.PROCS.2023.10.364⟩ |
Ontology for Smart Viticulture: Integrating Inference Rules Based on Sensor DataInternational Conference on Service-Oriented Computing : ICSOC 2019, Oct 2019, Toulouse, France. pp.168-177, ⟨10.1007/978-3-030-45989-5_14⟩ |
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An Ontology-Based Monitoring System in Vineyards of the Burgundy Region2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), Jun 2019, Capri (Napoli), Italy. ⟨10.1109/WETICE.2019.00070⟩ |
De la science à l’expérience, la pluralité des savoirs en viticulture : le cas des maladies.La vigne et le vin. Transformation des filières et des acteurs, 2020 |
Contributions to filtering out formal concepts: Getting out pertinent coverage and efficient computation of the stabilityComputer Science [cs]. Faculté des sciences de Tunis, 2016. English. ⟨NNT : ⟩ |