Publications

Journal articles

• “Graph integration of structured, semistructured and unstructured data for data journalism” by Angelos-Christos Anadiotis, Oana Balalau, Catarina Conceiçao, Helena Galhardas, Mhd Yamen Haddad, Ioana Manolescu, Tayeb Merabti, Jingmao You. Information Systems, 104: 101846 (2022)  ⟨10.1016/j.is.2021.101846⟩ 

• “Empowering Investigative Journalism with Graph-based Heterogeneous Data Management” by Angelos-Christos Anadiotis, Oana Balalau, Theo Bouganim, Francesco Chimienti, Helena Galhardas, Mhd Yamen Haddad, Stephane Horel, Ioana Manolescu, Youssr Youssef. IEEE Data Engineering Bulletin 44(3), Septembre 2021.

• “Identifying Disguised Missing Values in Heterogeneous, Text-Rich Data“, Theo Bouganim, Helena Galhardas, Ioana Manolescu.  Trans. Large Scale Data Knowl. Centered Syst. 51: 97-118 (2022)

Invited talks

• “All your digital data sources in one place: the SourcesSay ANR/DGA project“, keynote at the “Infox sur Seine” workshop, March 2023, Paris.
• “Teasing journalistic findings out of heterogeneous sources: a data/AI journey“, invited keynote at the Distributed Event-Based Systems (DEBS) Conference, June 2022. Also presented at: Colloque Jacques Morgenstern at Sophia Antipolis (video: https://www.canal-u.tv/chaines/inria/teasing-journalistic-findings-out-of-heterogeneous-sources-a-dataai-journey).
• « Que disent les sources ? L’IA et le BigData au service de la détection des fausses nouvelles » at the seminar of Pôle numérique de l’Académie des Technologies, on May 10, 2022
• “What do the Sources Say? Exploring Heterogeneous Journalistic Data As a Graph“, invited keynote at the International Formal Concept Analysis Conference (ICFCA) 2021, online, July 2021.
• “Integrating (Very) Heterogeneous Data Sources: A Structured and an Unstructured Perspective“, Ioana Manolescu, ADBIS 2020 – 24th European Conference on Advances in Databases and Information Systems, Aug 2020, Lyon, France. pp.15-20, ⟨10.1007/978-3-030-54832-2_3⟩
• “From Data to the Press: Data Management for Journalism and Fact-Checking“, Ioana Manolescu, DATA 2020 – 9th International Conference on Data Science, Technology and Applications, Jul 2020, Paris / Virtuel, France

Conference and workshop publications

• “Full-Power Graph Querying: State of the Art and Challenges” (tutorial) Ioana Manolescu, Madhulika Mohanty, VLDB 2023
• “Computing Generic Abstractions from Application Datasets” Nelly Barret, Ioana Manolescu, Prajna Upadhyay, EDBT 2024
• “User-friendly exploration of highly heterogeneous datasets” Nelly Barret, Simon Ebel, Théo Galizzi, Ioana Manolescu, Madhulika Mohanty, CoopIS 2023
• “Exploring Heterogeneous Graphs through their Entity Paths” Nelly Barret, Antoine Gauquier, Jia-Jean Law, Ioana Manolescu, ADBIS 2023
• “More Power to SPARQL: From paths to trees” (demonstration) Angelos Christos Anadiotis, Ioana Manolescu, Madhulika Mohanty, ESWC 2023
• “PathWays: entity-focused exploration of heterogeneous data graphs” (demonstration) Nelly Barret, Antoine Gauquier, Jia-Jean Law, Ioana Manolescu, ESWC 2023
• “Integrating Connection Search in Graph Queries” Angelos Anadiotis, Ioana Manolescu and Madhulika Mohanty, in IEEE International Conference on Data Engineering (ICDE), 2023.
• “Open Information Extraction with Entity Focused Constraints” Prajna Upadhyay, Oana Balalau, Ioana Manolescu, in EACL 2023 – 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2023, Dubrovnik, Croatia
• “Fact-checking Multidimensional Statistic Claims in French” Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, Antoine Deiana, Emilie Gautreau, Antoine Krempf, Thomas Pontillon, Gérald Roux, Joanna Yakin, in the Truth and Trust Online Conference, 2022 (slides)
• “Statistical Claim Checking: StatCheck in Action“, by  Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, Antoine Deiana, Emilie Gautreau, Antoine Krempf, Thomas Pontillon, Gérald Roux, Joanna Yakin, in the 31st ACM International Conference on Information and Knowledge Management (CIKM) 2022, demo paper
• “Abstra: Toward Generic Abstractions for Data of Any Model“, by Nelly Barret, Ioana Manolescu, Prajna Upadhyay, in the 31st ACM International Conference on Information and Knowledge Management (CIKM) 2022, demo paper

• “Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens” by Angelos Christos Anadiotis, Oana Balalau, Théo Bouganim, Francesco Chimienti, Helena Galhardas, Mhd Yamen Haddad , Stéphane Horel, Ioana Manolescu and Youssr Youssef, in the 30th ACM International Conference on Information and Knowledge Management (CIKM) 2021, demo paper (link to demo video)

• “Toward Generic Abstractions for Data of Any Model” by Nelly Barret, Ioana Manolescu, Prajna Upadhyay, BDA 2021 – Informal publication only, Oct 2021, Paris, France

• “Efficiently identifying disguised nulls in heterogeneous text data” by Théo Bouganim, Helena Galhardas, Ioana Manolescu, BDA (Conférence sur la Gestion de Données – Principles, Technologies et Applications), Oct 2021, Paris, France,

• “Graph-based keyword search in heterogeneous data sources” by Angelos Christos Anadiotis, Mhd Yamen Haddad and Ioana Manolescu, in 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications (BDA) 2020, informal publication (presentation slides)

• “Graph integration of structured, semistructured and unstructured data for data journalism” by Oana Balalau, Catarina Conceição, Helena Galhardas, Ioana Manolescu, Tayeb Merabti, Jingmao You and Youssr Youssef, in 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications (BDA) 2020, informal publication  (presentation slides)
• “Toward Visual Interactive Exploration of Heterogeneous Graphs” Irène Burger, Ioana Manolescu, Emmanuel Pietriga, Fabian Suchanek, in SEAdata 2020 – Workshop on Searching, Exploring and Analyzing Heterogeneous Data in conjunction with EDBT/ICDT, Mar 2020, Copenhagen, Denmark