Mardi 14 Octobre
| 10:00 – 12:30 | ||
| Accueil
Hall de l’Escandille |
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| 12:30 – 14:00 | ||
| Buffet Froid | ||
| 14:00 – 15:00 | ||
| Ouverture
Salle de Conférences |
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| 15:00 – 16:00 | ||
| Keynote 1 : « Big Data Integration » Chair : Sihem Amer-Yahia Divesh Srivastava (AT&T Labs, ACM Fellow, Board of trustees VLDB endowment) http://www2.research.att.com/~divesh/ Divesh Srivastava is the head of Database Research at AT&T Labs-Research. He is an ACM fellow, on the board of trustees of the VLDB Endowment, the managing editor of the Proceedings of the VLDB Endowment (PVLDB) and an associate editor of the ACM Transactions on Database Systems (TODS). His research interests and publications span a variety of topics in data management. Abstract: The Big Data era is upon us: data is being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through all aspects of society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of Big Data. BDI differs from traditional data integration in many dimensions: (i) the number of data sources, even for a single domain, has grown to be in the tens of thousands, (ii) many of the data sources are very dynamic, as a huge amount of newly collected data are continuously made available, (iii) the data sources are extremely heterogeneous in their structure, with considerable variety even for substantially similar entities, and (iv) the data sources are of widely differing qualities, with significant differences in the coverage, accuracy and timeliness of data provided. This talk explores the progress that has been made by the data integration community in addressing these novel challenges faced by big data integration, and identifies a range of open problems for the community. Salle de Conférences |
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| 16:00 – 16:30 | ||
| Pause
Grand Salon |
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| 16:30 – 17:30 | ||
| Session Jeunes Chercheurs Chair : David Gross-Amblard | ||
| Ji Liu. Multisite Management of Data-intensive Scientific Workflows in the Cloud |
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| Loic Salmon. Une approche holistique combinant flux temps-réel et données archivées pour la gestion et le traitement d’objets mobiles |
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| Arres Billel. Optimizing OLAP cube construction by improving data placement on Hadoop cluster |
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| John Samuel. An Upper Bound on the Number of Accesses for DatalogαLast Queries |
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| Romain Perriot. Caches sémantiques et réécriture pour nuages informatiques |
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| Belghoul Abdeslem. Optimisation de requêtes dans les systèmes d’intégration de données |
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| Manel Charfi. Optimisation sémantique des requêtes continues : Application aux bâtiments intelligents |
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Salle de Conférences |
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| 17:30 – 18:00 | ||
| Assemblée générale Suite aux évolutions du modèle de la conférence BDA pour son 30ème anniversaire, une assemblée générale est organisée pour en discuter et en débattre avec tous les participants de la conférence. Salle de Conférences |
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| 18:00 – 19:00 | ||
| Temps Libre Piscine, Sauna, Hammam, Bains à remous, Squash, Salle de remise en forme, Tennis de Table, Billard, … Tenue de sport adéquate exigée |
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| 19:00 – 20:00 | ||
| Posters
Grand Salon |
Apéritif de Bienvenue
Grand Salon |
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| 20:00 – 21:30 | ||
| Diner
Menu Savoyard |
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| 21:30 – 22:30 | ||
| Activité sociale
Grand Salon |
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Paper11.pdf (163.5 KiB, 26 hits)Mercredi 15 Octobre
| 9:00 – 10:00 | |
| Keynote : « Big Data: Hype and Reality » Chair : Michel Adiba Dr C. Mohan (IBM Almaden Research Center) http://bit.ly/CMohan Dr. C. Mohan has been an IBM researcher for 32 years in the information management area, impacting numerous IBM and non-IBM products, the research and academic communities, and standards, especially with his invention of the ARIES family of locking and recovery algorithms, and the Presumed Abort commit protocol. This IBM, ACM and IEEE Fellow has also served as the IBM India Chief Scientist. In addition to receiving the ACM SIGMOD Innovation Award, the VLDB 10 Year Best Paper Award and numerous IBM awards, he has been elected to the US and Indian National Academies of Engineering, and has been named an IBM Master Inventor. This distinguished alumnus of IIT Madras received his PhD at the University of Texas at Austin. He is an inventor of 40 patents. He has served on the advisory board of IEEE Spectrum and on the IBM Software Group Architecture Board’s Council. Mohan is a frequent speaker in North America, Western Europe and India, and has given talks in 40 countries. More information can be found in his home page at http://bit.ly/CMohan Salle de Conférences |
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| 10:00 – 10:30 | |
| Pause Grand Salon |
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| 10:30 – 12:30 | |
| Session 1 : « NoSQL » Chair : Genoveva Vargas-Solar |
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| Jesús Camacho-Rodríguez, Dario Colazzo, Melanie Herschel, Ioana Manolescu and Soudip Roy Chowdhury. PigReuse: Reuse-based Optimization for Pig Latin. NP |
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| Jesús Camacho-Rodríguez, Dario Colazzo and Ioana Manolescu. PAXQuery: Efficient Parallel Processing of Complex XQuery. NP |
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| Boyan Kolev, Patrick Valduriez, Ricardo Jimenez-Peris, Norbert Martínez-Bazan and Jose Pereira. CloudMdsQL: Querying Heterogeneous Cloud Data Stores with a Common Language. NP |
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| Amin Mesmoudi, Mohand-Said Hacid and Farouk Toumani. Benchmarking SQL On MapReduce systems using large astronomy databases. NP |
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Salle de Conférences |
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| 12:30 – 14:00 | |
| Déjeuner
Menu Forestier |
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| 14:00 – 16:00 | |
| Session 2 : « Distribution et/ou Vie Privée » Chair : Gilles Zurfluh |
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| Tristan Allard, Georges Hébrail, Florent Masseglia and Esther Pacitti. Chiaroscuro: Classification de séries temporelles personnelles massivement distribuées en respectant leur confidentialité. NP |
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| Nicolas Anciaux, Luc Bouganim, Philippe Pucheral, Yanli Guo, Lionel Le Folgoc and Shaoyi Yin. MILo-DB: a Personal, Secure and Portable Database Machine. P |
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| Maximilien Servajean, Esther Pacitti, Miguel Liroz Gistau, Sihem Amer-Yahia and Amr El Abbadi. Exploiting Diversification in Distributed Recommendation. P |
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| Nicolas Anciaux, Luc Bouganim, Thierry Delot, Sergio Ilarri, Leila Kloul, Nathalie Mitton and Philippe Pucheral. Opportunistic Data Services in Least Developed Countries: Benefits, Challenges and Feasibility Issues. (Position Paper). P |
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Salle de Conférences |
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| 16:00 – 16:30 | |
| Pause
Grand Salon |
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| 16:30 – 17:30 | |
Ateliers Chair : David Gross-Amblard
Salle de Conférences |
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| 17:30 – 18:30 | |
| Démos Chair : Romuald Thion |
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| David Montoya and Serge Abiteboul. Inférence d’itinéraires multimodaux à partir de données smartphone. NP |
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| Benjamin Djahandideh, François Goasdoué, Zoi Kaoudi, Ioana Manolescu, Jorge-Arnulfo Quiané-Ruiz and Stamatis Zampetakis. How to deal with Cliques at Work. NP |
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| Fopa Leon Constantin, Jouanot Fabrice, Termier Alexandre and Tchuente Maurice. Le Web sémantique en aide à l’analyste de traces d’exécution. NP |
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| Ahmad Chettih, David Gross-Amblard, David Guyon, Erwann Legeay and Zoltan Miklos. Crowd, une plate-forme pour le crowdsourcing complexe. NP |
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| Maximilien Servajean, Esther Pacitti, Miguel Liroz Gistau, Alexis Joly and Julien Champ. Recherche et Recommandation Multi-Site Diversifiée pour les Sciences Citoyennes. NP |
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| Mouhamadou Lamine Ba, Sebastien Montenez, Talel Abdessalem and Pierre Senellart. Collecte, intégration et visualisation de données Web incertaines sur des objets mobiles. NP |
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| Brice Chardin, Emmanuel Coquery, Marie Pailloux and Jean-Marc Petit. RQL: un langage “à la SQL” pour découvrir des règles à partir des données. |
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| Cyril Labbé, Claudia Roncancio and Damien Bras. Stream2txt. NP |
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| Pauline Folz, Gabriela Montoya, Hala Skaf-Molli, Pascal Molli and Maria-Esther Vidal. SemLAV : Interroger le Web profond et le Web des données avec SPARQL . P |
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| Angela Bonifati, Radu Ciucanu and Slawek Staworko. Interactive Join Query Inference with JIM (Demo Paper). P |
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Salle Molière |
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| 18:30 – 20:00 | |
| Temps Libre Piscine, Sauna, Hammam, Bains à remous, Squash, Salle de remise en forme, Tennis de Table, Billard, … Tenue de sport adéquate exigée |
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| 20:00 – 21:30 | |
| Diner
Menu du Massif de la Chambotte |
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Jeudi 16 Octobre
| 9:00 – 10:00 | |
| Keynote : « Declarative Modeling for Machine Learning and Data Mining » Luc De Raedt (Katholieke Universiteit Leuven, ECCAI fellow) Chair : Marie-Christine Rousset http://people.cs.kuleuven.be/~luc.deraedt/ Abstract: Today, it remains a challenge to develop applications and software that incorporates data mining. One reason is that the field has focussed on developing high-performance algorithms for solving particular tasks rather than on developing general principles and techniques. Salle de Conférences |
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| 10:00 – 10:30 | |
| Pause / Démos
Grand Salon/Salle Molière |
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| 10:30 – 12:30 | |
| Session 3 : « Schémas et RDF » Chair : Sofian Maabout | |
| Damian Bursztyn, François Goasdoué, Ioana Manolescu and Alexandra Roatis. Optimizing Reformulation-based Query Answering in RDF. NP |
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| Mustafa Al-Bakri, Manuel Atencia and Marie-Christine Rousset. Import-by-Query : une approche itérative à base de règles Datalog pour inférer des liens “same-as” à l’aide du Web des données. NP |
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| Danai Symeonidou, Vincent Armant, Nathalie Pernelle and Fatiha Saïs. SAKey: Scalable Almost Key discovery in RDF data. P |
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| Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Zoltan Miklos, Karl Aberer, Avigdor Gal and Matthias Weidlich. Pay-as-you-go Reconciliation in Schema Matching Networks. P |
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Salle de Conférences |
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| 12:30 – 14:00 | |
| Déjeuner
Menu du Dauphiné |
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| 14:00 – 15:30 | |
| Session 4 : « Cubes de Données et Agrégation » Chair : Karine Zeitouni |
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| Frédéric Dumonceaux, Guillaume Raschia and Marc Gelgon. Materializing Data Cubes as Partitions of Sets of Tuples. NP |
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| Sofian Maabout, Nicolas Hanusse, Patrick Kamnang Wanko and Carlos Ordonez. Les Dépendances Fonctionnelles pour l’Optimisation des Requêtes Skyline Multi-dimensionnelle. NP |
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| Reza Akbarinia and Florent Masseglia. Compression de flux de données probabilistes attentive à l’agrégation. NP |
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Salle de Conférence |
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| 15:30 – 16:00 | |
| Pause / Démos
Grand Salon/Salle Molière |
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| 16:00 – 20:00 | |
| Activités en extérieur
Prévoir chaussures de sport et tenue confortable |
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| 20:00 – 22:00 | |
| Banquet
Plein de bonnes choses ! Tenue de soirée exigée |
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| 22:00 – … | |
| Activités sociales
Grand Salon |
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Vendredi 17 Octobre
P : Articles déjà publiés / Already published papers