Bases de Données / Databases

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Equipe Bases de Données

L'équipe Bases de Données (BD) du laboratoire LIP6 a une longue expérience de recherche sur la modélisation, l’interrogation et la gestion de données distribuées, volumineuses et complexes. Nos thématiques de recherche actuelles portent sur l’extension automatique de tables analytiques (en collaboration avec SAP), l’analyse de l’évolution des domaines scientifiques dans les corpus textuels (projet ANR EPIQUE), l’extraction de schémas JSON, l’interrogation des graphes de connaissances, le résumé de fragments de données et les algorithmes de recommandation dans les médias sociaux.

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Annonces

Membres

NomPrénomStatutAffiliationBureauTéléphone
Amann Bernd Full Professor UPMC 25-26/506 01 44 27 70 09
amine.jpg Baazizi Amine Associate Professor UPMC 25-26/505 01 44 27 88 75
Constantin Camélia Associate Professor UPMC 25-26/509 01 44 27 87 42
Doucet Anne Full Professor UPMC 25-26/504 01 44 27 70 01
stephane.jpg Gançarski Stéphane Associate Professor UPMC 25-26/511 01 44 27 87 95
hubert.jpg Naacke Hubert Associate Professor UPMC 25-26/507 01 44 27 87 61
Liu Rutian PhD student UPMC-SAP
Li Ke PhD student UPMC

Projets de Recherche en cours

Tous les projets

Publications

2019 (13)

  • Patrick Bordes, Éloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari, Incorporating Visual Semantics into Sentence Representations within a Grounded Space. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), In 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing. pp. 696-707. Association for Computational Linguistics. Hong Kong, China, Nov 2019. doi web inproceedings
  • Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. ACL Anthology, In 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). pp. 3237-3247. Association for Computational Linguistics. Hong Kong, China, Nov 2019. doi web inproceedings
  • Fatma-Zohra Hannou, Bernd Amann, Mohamed-Amine Baazizi, Query-Oriented Answer Imputation for Aggregate Queries. Lecture Notes in Computer Science, In Advances in Databases and Information Systems - 23rd European Conference, ADBIS 2019. pp. 302-318. Springer. Bled, Slovenia, Aug 2019. doi web inproceedings
  • Fatma-Zohra Hannou, Bernd Amann, Mohamed-Amine Baazizi, Explaining Query Answer Completeness and Correctness with Partition Patterns. Lecture Notes in Computer Science, In 30th International Conference on Database and Expert Systems Applications - DEXA 2019. pp. 47-62. Linz, Austria, Aug 2019. doi web inproceedings
  • Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano, Self-Attention Architectures for Answer-Agnostic Neural Question Generation. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, In ACL 2019 - Annual Meeting of the Association for Computational Linguistics. pp. 6027-6032. Association for Computational Linguistics. Florence, Italy, Jul 2019. doi web inproceedings
  • Étienne Simon, Vincent Guigue, Benjamin Piwowarski, Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. In ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics. pp. 1378-1387. Association for Computational Linguistics. Florence, Italy, Jul 2019. doi web inproceedings
  • Fatma-Zohra Hannou, Bernd Amann, Mohamed-Amine Baazizi, Exploring and Comparing Table Fragments With Fragment Summaries. In Eleventh International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA). pp. 31-38. IARIA. Athènes, Greece, Jun 2019. web inproceedings
  • Fatma-Zohra Hannou, Bernd Amann, Mohamed-Amine Baazizi, Explaining Query Answer Completeness and Correctness with Minimal Pattern Covers. Jan 2019. web unpublished
  • Patrick Bordes, Éloi Zablocki, Laure Soulier, Benjamin Piwowarski, Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. COnférence en Recherche d'Informations et Applications - CORIA 2019, 16th French Information Retrieval Conference. Lyon, France, May 25-29, 2019. Proceedings, In COnférence en Recherche d'Informations et Applications. Lyon, France, 2019. doi web inproceedings
  • Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano, Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales. COnférence en Recherche d'Informations et Applications - CORIA 2019, 16th French Information Retrieval Conference. Lyon, France, May 25-29, 2019. Proceedings, In COnférence en Recherche d'Informations et Applications - CORIA 2019, 16th French Information Retrieval Conference. Lyon, France, 2019. doi web inproceedings
  • Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, A Type System for Interactive JSON Schema Inference (Extended Abstract). Leibniz International Proceedings in Informatics (LIPIcs), In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). pp. 101:1–101:13. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik. Patras, Greece, 2019. doi web inproceedings
  • Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, Schemas and Types for JSON Data: From Theory to Practice. In SIGMOD '19 - International Conference on Management of Data 2019. pp. 2060-2063. ACM. Amsterdam, Netherlands, 2019. doi web inproceedings
  • Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, Schemas And Types For JSON Data. In Advances in Database Technology - EDBT 2019. pp. 437-439. Lisbon, Portugal, 2019. doi web inproceedings

2018 (13)

  • Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, Proofs for Parametric Schema Inference for Massive JSON Datasets. Dec 2018. web unpublished
  • Xiangnan Ren, Olivier Curé, Hubert Naacke, Guohui Xiao, RDF Stream Reasoning via Answer Set Programming on Modern Big Data. pp. 51. ceur-ws.org. Oct 2018. web misc
  • Jean-Benoît Griesner, Talel Abdessalem, Hubert Naacke, Pierre Dosne, ALGeoSPF: A Hierarchical Factorization Model for POI Recommendation. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). pp. 87-90. Barcelona, Spain, Oct 2018. doi web inproceedings
  • Bernd Amann, Olivier Curé, Hubert Naacke, Distributed SPARQL Query Processing: a Case Study with Apache Spark. In NoSQL Data Models: Trends and Challenges. Wiley. Aug 2018. web incollection
  • Ludovic DOS SANTOS, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari, Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (5) pp. 1 - 33. ACM. Jul 2018. doi web article
  • eloi zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari, Apprentissage multimodal de représentation de mots à l'aide de contexte visuel. In Conférence sur l'Apprentissage Automatique. Rouen, France, Jun 2018. web inproceedings
  • Adrien Titeux, Benjamin Piwowarski, Patrick Gallinari, Représentations Gaussiennes pour le Filtrage Collaboratif. In 15ème COnférence en Recherche d'Informations et Applications - CORIA 2018. Rennes, France, May 2018. doi web inproceedings
  • Alejandro Lopez-Rincon, Alberto Tonda, Mohamed Elati, Olivier Schwander, Benjamin Piwowarski, Patrick Gallinari, Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Applied Soft Computing 65 pp. 91 - 100. Elsevier. Apr 2018. doi web article
  • Gabriella Pasi, Benjamin Piwowarski, Leif Azzopardi, Allan Hanbury, Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings. Lecture Notes in Computer Science, In 40th European Conference on IR Research - ECIR 2018. Springer. Grenoble, France, Mar 2018. doi web proceedings
  • Quentin Grossetti, Camelia Constantin, Cédric Du Mouza, Nicolas Travers, An Homophily-based Approach for Fast Post Recommendation in Microblogging Systems. In 21st International Conference on Extending Database Technology (EDBT 2018). pp. 229-240. Vienne, Austria, 2018. doi web inproceedings
  • Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari, Learning Multi-Modal Word Representation Grounded in Visual Context. In Association for the Advancement of Artificial Intelligence (AAAI). New Orleans, United States, 2018. web inproceedings
  • Jean-Benoît Griesner, Talel Abdessalem, Hubert Naacke, Pierre Dosne, ALGeoSPF: Un modèle de factorisation basé sur du clustering géographique pour la recommandation de POI. In Extraction et Gestion de Connaissances (EGC'2018). pp. 12. Saint Denis, France, 2018. web inproceedings
  • Xiangnan Ren, Olivier Curé, Hubert Naacke, Guohui Xiao, BigSR: real-time expressive RDF stream reasoning on modern Big Data platforms. In IEEE International Conference on Big Data. pp. 811-820. Seatle, WA, United States, 2018. web inproceedings

2017 (9)

  • Camelia Constantin, Yifan Li, Cédric Du Mouza, Un partitionnement d'arêtes à base de blocs pour les algorithmes de marches aléatoires dans les grands graphes sociaux. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information 22 (3) pp. 89-113. Lavoisier. Nov 2017. doi web article
  • Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari, Gaussian Embeddings for Collaborative Filtering. In 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 1065-1068. ACM. Tokyo, Japan, Aug 2017. doi web inproceedings
  • Yifan Li, Camelia Constantin, Cédric Du Mouza, SGVCut: A Vertex-Cut Partitioning Tool for RandomWalks-based Computations over Social Network graphs. In International Conference on Scientific and Statistical Database Management, SSDBM. pp. 39:1–39:4. Chicago, United States, Jun 2017. web inproceedings
  • Hubert Naacke, Bernd Amann, Olivier Curé, SPARQL Graph Pattern Processing with Apache Spark. In GRADES (Graph Data-management Experiences & Systems), Workshop, SIGMOD 2017. pp. 1-7. Chicago, United States, May 2017. web inproceedings
  • Mohamed-Amine Baazizi, Houssem Ben Lahmar, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, Schema Inference for Massive JSON Datasets. In Extending Database Technology (EDBT). Venise, Italy, Mar 2017. doi web inproceedings
  • Jean-Benoît Griesner, Talel Abdessalem, Hubert Naacke, Un Modèle de Factorisation de Poisson pour la Recommandation de Points d'Intérêt. In 17ème Journées Francophones Extraction et Gestion des Connaissances (EGC 2017). pp. 411-416. Grenoble, France, Jan 2017. web inproceedings
  • Hubert Naacke, Jean-Benoît Griesner, Talel Abdessalem, Pierre Dosne, ALGeoSPF: A Hierarchical Geographical Factorization Model for POI Recommendation. In Journées Bases de Données Avancées (BDA). pp. 11. Nancy, France, 2017. web inproceedings
  • Nicole Bidoit, Anne Doucet, La diversité des données.. In Les Big Data à découvert. pp. 24-25. CNRS EDITIONS. 2017. web incollection
  • Xiangnan Ren, Olivier Curé, Hubert Naacke, Jérémy Lhez, Ke Li, Strider R: Massive and Distributed RDF Graph Stream Reasoning. In IEEE International Conference on Big Data, Big Data 2017. pp. 3358-3367. IEEE. Boston, United States, 2017. doi web inproceedings

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site/start.txt · Dernière modification: 03/12/2019 11:18 par amann