Pierre Senellart
- Centre Inria de Paris
- Département d'informatique - ENS-PSL (DI-ENS)
Publications
Publications
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Qualitative Evaluation of Academic Researchers in Computer Science: Practices and Reflections from CNRSComputer Education, 2025, 12 (372), pp.36-41. ⟨10.16512/j.cnki.jsjjy.2025.12.012⟩ |
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OnePSL30 : transformation numérique de l’Université PSLCollection numérique de l’AMUE, Agence de mutualisation des universités et établissements d'enseignement supérieur, 2025, 39 |
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MSAD: A Deep Dive into Model Selection for Time series Anomaly DetectionThe VLDB Journal, 2025, 34 (6), pp.72. ⟨10.1007/s00778-025-00949-1⟩ |
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Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic DatabasesProceedings of the ACM on Management of Data, 2024, 2 (2 (PODS)), ⟨10.1145/3651593⟩ |
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Making AI Machines Work for Humans in FoWSIGMOD record, 2020, 49 (2), pp.30-35. ⟨10.1145/3442322.3442327⟩ |
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Connecting Knowledge Compilation Classes and Width ParametersTheory of Computing Systems, 2020, ⟨10.1007/s00224-019-09930-2⟩ |
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Monadic Datalog, Tree Validity, and Limited Access ContainmentACM Transactions on Computational Logic, 2020, 21 (1), pp.6:1-6:45. ⟨10.1145/3344514⟩ |
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Computing Possible and Certain Answers over Order-Incomplete DataTheoretical Computer Science, 2019, 797, pp.42-76. ⟨10.1016/j.tcs.2019.05.013⟩ |
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Evaluating Datalog via Tree Automata and CycluitsTheory of Computing Systems, 2019, 63 (7), pp.1620-1678. ⟨10.1007/s00224-018-9901-2⟩ |
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ProvSQL: Provenance and Probability Management in PostgreSQLProceedings of the VLDB Endowment (PVLDB), 2018, 11 (12), pp.2034-2037. ⟨10.14778/3229863.3236253⟩ |
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An Indexing Framework for Queries on Probabilistic GraphsACM Transactions on Database Systems, 2017, pp.1 - 34. ⟨10.1145/3044713⟩ |
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Provenance and Probabilities in Relational Databases: From Theory to PracticeSIGMOD record, 2017, pp.1-11 |
A Framework for Sampling-Based XML Data PricingTransactions on Large-Scale Data- and Knowledge-Centered Systems, 2016, 24, pp.116-138 |
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Guest Editorial: Special Issue on Databases and CrowdsourcingDistributed and Parallel Databases, 2015, 33 (1), pp.1-2 |
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Optimal Probabilistic Generation of XML DocumentsTheory of Computing Systems, 2015, 57 (4), pp.806-842 |
Intensional Data on the WebACM SIGWEB Newsletter, 2015, pp.12 |
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Un déluge de donnéesInterstices, 2014 |
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Crawl intelligent et adaptatif dapplications Web pour larchivage du WebRevue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2014, 19 (4), pp.61-86 |
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Gestion de versions incertaines de documents XMLRevue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2014, 19 (4), pp.9-34 |
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ARCOMEM Crawling ArchitectureFuture Internet, 2014, 6 (3), pp.518-541 |
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The ARCOMEM Architecture for Social- and Semantic-Driven Web ArchivingFuture internet, 2014, 6 (4), pp.688-716. ⟨10.3390/fi6040688⟩ |
Merging Uncertain Multi-Version XML DocumentsACM DocEng 2013 International Workshop on Document Changes, 2013, http://ceur-ws.org/Vol-1008/paper1.pdf |
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Un déluge de donnéesPour la science, 2013, 433, pp.32-35 |
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Uncertain Version Control in Open Collaborative Editing of Tree-Structured DocumentsThe 13th ACM Symposium on Document Engineering (DocEng), 2013, pp.27‑36. ⟨10.1145/2494266.2494277⟩ |
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Discovering Interesting Information with Advances in Web TechnologySIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, 2012, 14 (2), pp.63-81 |
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PARIS: Probabilistic Alignment of Relations, Instances, and SchemaProceedings of the VLDB Endowment (PVLDB), 2011, 5 (3), pp.157-168 |
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La diversité culturelle dans l'industrie de la musique enregistrée en France (2003-2008)Culture études, 2011, n°5, pp.1-16. ⟨10.3917/cule.115.0001⟩ |
Capturing Continuous Data and Answering Aggregate Queries in Probabilistic XMLACM Transactions on Database Systems, 2011, 36 (4), pp.25 |
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XML content warehousing: Improving sociological studies of mailing lists and web dataBulletin de Méthodologie Sociologique / Bulletin of Sociological Methodology, 2011, 112 (1), pp.5-31. ⟨10.1177/0759106311417540⟩ |
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Schema Mapping Discovery from Data InstancesJournal of the ACM (JACM), 2010 |
The SIGMOD 2010 Programming Contest: A Distributed Query EngineSIGMOD record, 2010, 39 (2), pp.61-64 |
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Probabilistic XML via Markov ChainsProceedings of the VLDB Endowment (PVLDB), 2010, 3 (1), pp.770-781 |
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The SIGMOD 2010 Programming Contest: A Distributed Query EngineSIGMOD record, 2010 |
Schema Mapping Discovery from Data InstancesJournal of the ACM (JACM), 2010, 57 (2), pp.6. ⟨10.1145/1667053.1667055⟩ |
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Repeatability and workability evaluation of SIGMOD 2009SIGMOD record, 2009, 38 (3), pp.40-43 |
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On the Expressiveness of Probabilistic XML ModelsThe VLDB Journal, 2009 |
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Efficient and Scalable Search for StatisticsICDE 2026 - 42nd IEEE International Conference on Data Engineering, May 2026, Montréal, Canada |
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Efficient Crawling for Scalable Web Data AcquisitionEDBT 2026 - 29th International Conference on Extending Database Technology, Mar 2026, Tampere, Finland |
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Database Theory in Action: Making Provenance and Probabilistic Database Theory Work in Practice (Invited Talk)ICDT 2025 - International Conference on Database Theory, Mar 2025, Barcelona, Spain. ⟨10.4230/LIPIcs.ICDT.2025.35⟩ |
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Using a Probabilistic Database in an Image Retrieval ApplicationEDBT 2025 - 28th International Conference on Extending Database Technology, Mar 2025, Barcelona, Spain |
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Expected Shapley Value is Shapley Value for Expected Utility GameECSQARU 2025 - 18th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Sep 2025, Hagen, Germany |
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Demonstration of ProvSQL Update Provenance through Temporal DatabasesPW25 - ProvenanceWeek, Jun 2025, Berlin, Germany. ⟨10.1145/3736229.3736253⟩ |
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ProvSQL: A General System for Keeping Track of the Provenance and Probability of DataICDE 2026 - 42nd IEEE International Conference on Data Engineering, May 2026, Montréal, Canada |
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Discovering Voting Power for Ensemble MethodsDEXA 2025 - International Conference on Database and Expert Systems Applications, Aug 2025, Bangkok, Thailand |
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Apprentissage multimodal modulaire pour l'extraction de théorèmes et de preuves dans des documents scientifiques longsExtraction et Gestion des Connaissances, EGC'2025, Jan 2025, Strasbourg, France |
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TheoremView: A Framework for Extracting Theorem-Like Environments from Raw PDFsECIR 2025 - European Conference on Information Retrieval, Apr 2025, Lucca, Italy. pp.6, ⟨10.1007/978-3-031-88720-8_5⟩ |
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Modular Multimodal Machine Learning for Extraction of Theorems and Proofs in Long Scientific DocumentsJCDL 2024 - ACM/IEEE-CS Joint Conference on Digital Libraries, Dec 2024, Hong Kong, China. ⟨10.1145/3677389.3702540⟩ |
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First Steps in Building a Knowledge Base of Mathematical ResultsSDP Fourth Workshop on Scholarly Document Processing at ACL 2024, Aug 2024, Bangkok, Thailand |
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Confidential Truth Finding with Multi-Party ComputationDEXA 2023 - 34th International Conference on Database and Expert Systems Applications, Aug 2023, Penang, Malaysia |
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Automatically Inferring the Document Class of a Scientific ArticleDocEng 2023 - 23rd ACM Symposium on Document Engineering, Aug 2023, Limerick, Ireland. ⟨10.1145/3573128.3604894⟩ |
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Extracting Definienda in Mathematical Scholarly Articles with TransformersThe 2nd Workshop on Information Extraction from Scientific Publications at IJCNLP-AACL 2023, Nov 2023, Online, Indonesia |
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Efficient Provenance-Aware Querying of Graph Databases with DatalogGRADES-NDA 2022 - Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Jun 2022, Philadelphia, United States |
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Provenance-Based Algorithms for Rich Queries over Graph DatabasesEDBT 2021 - 24th International Conference on Extending Database Technology, Mar 2021, Nicosia / Virtual, Cyprus |
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Towards Extraction of Theorems and Proofs in Scholarly ArticlesDocEng '21 - 21st ACM Symposium on Document Engineering, Aug 2021, Limerick, Ireland |
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Algorithmes à base de provenance pour des requêtes enrichies sur les bases de données graphesBDA 2020 - 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Oct 2020, Paris / Virtuel, France |
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Confidentialité différentielle à risque : Relier les sources d’aléa et un budget de confidentialitéBDA 2020 - 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Oct 2020, Paris / Virtuel, France |
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BelMan: An Information-Geometric Approach to Stochastic BanditsECML/PKDD - The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2019, Würzburg, Germany |
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An Experimental Study of the Treewidth of Real-World Graph DataICDT 2019 – 22nd International Conference on Database Theory, Mar 2019, Lisbon, Portugal. pp.18, ⟨10.4230/LIPIcs.ICDT.2019.12⟩ |
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Provenance in Databases: Principles and ApplicationsRW 2019 : Reasoning Web Summer School, Sep 2019, Bolzano, Italy. pp.104-109, ⟨10.1007/978-3-030-31423-1_3⟩ |
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Semiring Provenance over Graph Databases10th USENIX Workshop on the Theory and Practice of Provenance (TaPP 2018), Jul 2018, London, United Kingdom |
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Form Filling based on Constraint Solving18th International Conference on Web Engineering (ICWE 2018), Jun 2018, Cáceres, Spain. ⟨10.1007/978-3-319-91662-0_20⟩ |
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Connecting Width and Structure in Knowledge CompilationICDT 2018 - 21st International Conference on Database Theory, Mar 2018, Vienna, Austria. pp.1-17, ⟨10.4230/LIPIcs.ICDT.2018.6⟩ |
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A Knowledge Base for Personal Information ManagementLDOW2018 - Linked Open Data Workshop at the World Wide Web Conference, Apr 2018, Lyon, France |
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Reasoning on Data Workshop Chairs' Welcome and OrganizationInternational World Wide Web Conference (WWW), Apr 2018, Lyon, France. pp.1585-1586, ⟨10.1145/3184558.3192320⟩ |
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Focused Crawling through Reinforcement Learning18th International Conference on Web Engineering (ICWE 2018), Jun 2018, Cáceres, Spain. pp.261-278, ⟨10.1007/978-3-319-91662-0_20⟩ |
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Conjunctive Queries on Probabilistic Graphs: Combined ComplexityPrinciples of Database Systems (PODS), May 2017, Chicago, United States. ⟨10.1145/3034786.3056121⟩ |
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Combined Tractability of Query Evaluation via Tree Automata and CycluitsICDT 2017 - International Conference on Database Theory, Mar 2017, Venice, Italy. ⟨10.4230/LIPIcs.ICDT.2017.6⟩ |
Top-k Queries on Unknown Values under Order ConstraintsICDT 2017, Mar 2017, Venice, Italy |
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Towards Approximating Incomplete Queries over Partially Complete Databases (Extended Abstract)AMW, Jun 2017, Montevideo, Uruguay |
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Possible and Certain Answers for Queries over Order-Incomplete Data24th International Symposium on Temporal Representation and Reasoning (TIME 2017), Oct 2017, Mons, Belgium. pp.4:1-4:19, ⟨10.4230/LIPIcs.TIME.2017.4⟩ |
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Top-k Querying of Unknown Values under Order ConstraintsICDT 2017 - International Conference on Database Theory, Mar 2017, Venice, Italy. ⟨10.4230/LIPIcs.ICDT.2017.5⟩ |
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Routing an Autonomous Taxi with Reinforcement LearningProceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16, 2016, -, France. ⟨10.1145/2983323.2983379⟩ |
Tractable Lineages on Treelike Instances: Limits and ExtensionsPODS (Principles of Database Systems), Jun 2016, San Francisco, United States. pp.355-370 |
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Discovering Meta-Paths in Large Heterogeneous Information NetworksWWW, May 2015, Florence, Italy |
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Adaptive Web Crawling through Structure-Based Link ClassificationICADL (International Conference on Asian Digital Libraries), Dec 2015, Seoul, South Korea. pp.39-51 |
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Circuits de provenance pour les arbres et les instances quasi-arborescentesBDA, Sep 2015, Porquerolles, France |
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Hup-Me: Inferring and Reconciling a Timeline of User Activity from Rich Smartphone DataACM SIGSPATIAL 2015 - Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, Nov 2015, Seattle, WA, United States |
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Online Influence MaximizationKDD, Aug 2015, Sydney, Australia. pp.645-654 |
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Requêtes sur des données à ordre incompletBDA, Sep 2015, Porquerolles, France |
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Apprentissage par renforcement pour optimiser les bases de donnéees indépendamment du modèle de coûtBDA, Sep 2015, Porquerolles, France |
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Provenance Circuits for Trees and Treelike InstancesICALP 2015, Jun 2015, Kyoto, Japan. pp.56-68 |
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Cost-Model Oblivious Database Tuning with Reinforcement LearningDEXA, Sep 2015, Valencia, Spain. pp.253-268 |
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FOREST: Focused Object Retrieval by Exploiting Significant Tag PathsWebDB, May 2015, Melbourne, Australia. pp.55-61 |
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Truth Finding with Attribute PartitioningWebDB, May 2015, Melbourne, Australia. pp.27-33 |
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Hup-Me: Inferring and Reconciling a Timeline of User Activity with Smartphone and Personal DataSIGSPATIAL (Special Interest Group on Spatial Information), Nov 2015, Seattle, United States |
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Collecte, intégration et visualisation de données Web incertaines sur des objets mobilesBDA (Bases de Données Avancées), Oct 2014, Autrans, France |
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ProbTree: A Query-Efficient Representation of Probabilistic GraphsBUDA (Big Uncertain Data), Jun 2014, Snowbird, United States |
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Monitoring moving objects using uncertain Web dataSIGSPATIAL (Special Interest Group on Spatial Information), Oct 2014, Dallas, United States. pp.4 |
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Get a Sample for a Discount: Sampling-Based XML Data PricingDEXA (Database and Expert Systems Applications), Sep 2014, Munich, Germany. pp.20-34 |
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Scalable, Generic, and Adaptive Systems for Focused CrawlingHyperText, Sep 2014, Santiago, Chile. pp.35-45 |
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Optimizing Approximations of DNF Query Lineage in Probabilistic XMLICDE (International Conference on Data Engineering), Apr 2013, Brisbane, Australia. pp.721-732 |
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Social and Semantic Driven Web HarvestingBuilding Web Observatories, May 2013, Paris, France |
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An Architecture for Selective Web Harvesting: The Use Case of HeritrixARCOMEM, Sep 2013, Lisbon, Portugal |
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Demonstrating Intelligent Crawling and Archiving of Web ApplicationsCIKM (Conference on Information and Knowledge Management), Oct 2013, San Francisco, United States. pp.2481-2483 |
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Crowd MiningSIGMOD (Special Interest Group on Management of Data), Jun 2013, New York, United States. pp.241-252 |
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Collecte intelligente et adaptative d'applications Web pour l'archivage du WebBDA (Bases de Données Avancées), Oct 2013, Nantes, France. pp.1-19 |
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Disseminate your Research: Style Does MatterPIKM (PhD Students at CIKM), Nov 2013, San Francisco, United States |
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Uncertain Version Control in Open Collaborative Editing of Tree-Structured DocumentsDocEng (Document Engineering), Sep 2013, Florence, Italy. pp.27-36 |
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Crowd Miner: Mining association rules from the crowdVLDB (Very Large Data Bases), Aug 2013, Riva del Garda, Italy. pp.241-252 |
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Probabilistic Models for Uncertain DataSoICT (Symposium on Information and Communication Technology), Dec 2013, Da Nang, Vietnam. pp.10 |
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On the Connections between Relational and XML Probabilistic Data ModelsBNCOD (British National Conference on Databases), Jul 2013, Oxford, United Kingdom. pp.121-134 |
Intelligent and Adaptive Crawling of Web Applications for Web ArchivingICWE, Jul 2013, Aalborg, Denmark. pp.306-322 |
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Monadic Datalog ContainmentICALP (International Colloquium on Automata, Languages, and Programming), Jul 2012, Warwick, Royaume-Uni. pp.79-91 |
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The ERC webdam on foundations of web data managementWWW (Companion Volume), Apr 2012, Lyon, France. pp.211-214 |
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Auto-completion learning for XMLSIGMOD Conference, May 2012, Scottsdale, United States. pp.669-672 |
Demonstrating ProApproX 2.0: A Predictive Query Engine for Probabilistic XMLCIKM (Conference on Information and Knowledge Management), Oct 2012, Maui, United States. pp.2734-2736 |
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Cross-Fertilizing Deep Web Analysis and Ontology EnrichmentVLDS (Very Large Data Search), Aug 2012, Istanbul, Turkey. pp.21-24 |
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Exploiting the Social and Semantic Web for guided Web ArchivingTPDL (Theory and Practices of Digital Libraries), Sep 2012, Paphos, Greece. pp.426-432 |
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API Blender: A Uniform Interface to Social Platform APIsWWW (World Wide Web), Apr 2012, Lyon, France |
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Dealing with the Deep Web and all its QuirksVLDS (Very Large Data Search), Aug 2012, Istanbul, Turkey. pp.21-24 |
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Optimisation des approximations de probabilité des requêtes en XML probabilisteBDA (Bases de Données Avancées), Oct 2012, Clermont-Ferrand, France. pp.20 |
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Monadic Datalog ContainmentICALP (2), Jul 2012, Warwick, United Kingdom. pp.79-91 |
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Finding optimal probabilistic generators for XML collectionsICDT, Mar 2012, Berlin, Germany. pp.127-139 |
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Value Joins are Expensive over (Probabilistic) XMLEDBT Workshop: The Logic in Databases, Mar 2011, Uppsala, Sweden |
Determining Relevance of Accesses at RuntimePODS (Principles of Database Systems), 2011, Athens, Greece. pp.211-222 |
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The Hidden Web, XML and Semantic Web: A Scientific Data Management PerspectiveEDBT - Tutorial, 2011, Uppsala, Sweden |
ProApproX: A Lightweight Approximation Query Processor over Probabilistic TreesSIGMOD (Special Interest Group on Management of Data), Jun 2011, Athens, Greece. pp.1295‑1298 |
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Ontology Matching at the Instance and Schema LevelBDA (Bases de données avancées), Oct 2011, Rabat, Morocco. pp.20 |
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A Probabilistic XML Merging ToolEDBT (Extending DataBase Technology), Mar 2011, Uppsala, Sweden. pp.538-541 |
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Towards a Version Control Model with Uncertain DataPIKM (PhD Students in Information and Knowledge Management), Oct 2011, Glasgow, United Kingdom. pp.8 |
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Optimal Probabilistic Generators for XML CorporaBDA (Bases de données avancées), Oct 2011, Rabat, Morocco. pp.20 |
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Determining Relevance of Accesses at RuntimePODS, Jun 2011, Athènes, Greece |
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Deriving Dynamics of Web Pages: A SurveyTWAW (Temporal Workshop on Web Archiving), Mar 2011, Hyderabad, India |
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Aggregate Queries for Discrete and Continuous Probabilistic XMLInternational Conference on Database Theory (ICDT), 2010, Lausanne, Switzerland. pp.50-61 |
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Archiving Data Objects using Web FeedsInternational Workshop on Web Archiving, Sep 2010, Vienna, Austria |
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Updating Probabilistic XMLEDBT Workshop on Updates in XML, 2010, Lausanne, Switzerland |
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Corroborating Information from Disagreeing ViewsInternational Conference on Web Search and Data Mining (WSDM), Feb 2010, New York City, United States |
Un Système de gestion de données XML probabilisteBDA (Bases de Données Avancées), Oct 2010, Toulouse, France. pp.5 |
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Probabilistic XML via Markov ChainsInternational Conference on Very Large Data Bases (VLDB), 2010, Singapore. pp.770-781 |
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The WebStand ProjectWebSci'09: Society On-Line Conference, Mar 2009, Greece. pp.1 |
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Web Page Rank Prediction with Markov ModelsWWW, Apr 2008, Beijing, China |
Automatic Wrapper Induction from Hidden-Web Sources with Domain KnowledgeInternational Workshop on Web information and data managment, Oct 2008, Napa, United States. pp.9-16 |
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On the Complexity of Managing Probabilistic XML DataPrinciples Of Database Systems, Jun 2007, Beijing/China |
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Finding Related Pages Using Green Measures: An Illustration with WikipediaAssociation for the Advancement of Artificial Intelligence Conference, Jul 2007, Vancouver/Canada |
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Querying and Updating Probabilistic Information in XMLExtending DataBase Technology, Mar 2006, Munich/Allemagne |
XML Warehousing Meets SociologyIADIS International Conference on WWW/Internet, 2005, Lisbon, Portugal |
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Actes de la conférence BDA 20172017 |
Proceedings of the 20th International Workshop on the Web and Databases, WebDB 2017, 2017, 978-1-4503-4983-3 |
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Web Data ManagementCambridge University Press, pp.432, 2012 |
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Web Data Management and DistributionCambridge University Press, pp.381, 2010 |
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Les réseaux informatiquesCatherine Grall. L'arbre et la toile : du vivant et des formes entre les disciplines, Academic Press, pp.219-228, 2026, Cultures & Écologies, 978-2-88981-088-8 |
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On the Impact of Provenance Semiring Theory on the Design of a Provenance-Aware Database SystemAntoine Amarilli; Alin Deutsch. The Provenance of Elegance in Computation — Essays Dedicated to Val Tannen, Schloss Dagstuhl, 2024, OpenAccess Series in Informatics, ⟨10.4230/OASIcs.Tannen.2024.12⟩ |
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Archivage du WebLes Big Data à découvert, CNRS Éditions, 2017, 978-2-271-11464-8 |
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Regularized Cost-Model Oblivious Database Tuning with Reinforcement LearningAbdelkader Hameurlain; Josef Küng; Roland Wagner; Qimin Chen. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVIII, 9940, Springer Verlag, pp.96-132, 2016, Lecture Notes in Computer Science, ⟨10.1007/978-3-662-53455-7_5⟩ |
Documenting Contemporary Society by Preserving Relevant Information from TwitterTwitter and Society, Peter Lang, pp.207-219, 2013 |
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Probabilistic XML: Models and ComplexityAdvances in Probabilistic Databases for Uncertain Information Management, Springer-Verlag, pp.39-66, 2013 |
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DatabasesE. K. Blum and A. V. Aho. Computer Science. The Hardware, Software and Heart of It, Springer, pp.169-229, 2012 |
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Modeling, Querying, and Mining Uncertain XML DataAndrea Tagarelli. XML Data Mining: Models, Methods, and Applications, IGI Global, 2011 |
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Automatic discovery of similar wordsMicahel W. Berry, Malu Castellanos. Survey of Text Mining: Clustering, Classification, and Retrieval, Springer, 2008 |
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Section 06 Sciences de l’information : fondements de l’informatique, calculs, algorithmes, représentations, exploitationsCNRS. 2025, pp.1-20 |
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Section 06 Sciences de l’information : fondements de l’informatique, calculs, algorithmes, représentations, exploitationsCNRS. 2021 |
Making data portability more effective for the digital economy[Technical Report] CERRE. 2020 |
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Thymeflow, An Open-Source Personal Knowledge Base System[Technical Report] Thymeflow. 2016 |
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Ontology Alignment at the Instance and Schema Level[Technical Report] RT-0408, INRIA. 2011, pp.26 |
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La normalisation en matière de technologies de l'information et de la communication (TIC)[Rapport de recherche] Institut d'études politiques de Paris. 2007, pp.155 |
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Understanding the Hidden WebHuman-Computer Interaction [cs.HC]. Université Paris Sud - Paris XI, 2007. English. ⟨NNT : ⟩ |
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Probabilistic XML: A Data Model for the WebDatabases [cs.DB]. Université Pierre et Marie Curie - Paris VI, 2012 |