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  • Schema Inference from Massive JSON Datasets
  • MU5IN860: Linked Open Data et Apprentissage Symbolique
  • Cartographie d'un datalake apprise par renforcement avec budget contraint
  • Zeenea/LIP6: Enrichissement de méta-données dans un datalake
  • Senagro Data Scikit
  • [TME II-2] Algèbre Spark: Dataset
  • Utilisation de Spark sous Databricks
  • Jeux de données
  • LIP6 Database Research Team
  • Schema Inference from Massive JSON Datasets
  • Loading WatDiv Dataset
Economical context : the "Bloggy" Web: 38 Occurrences trouvées
propose new infrastructures based on existing XML data management technology. === Technical Context ... Blog or feed servers implement sophisticated web data management functionalities for acquiring, refresh... g, storing, indexing, querying and exporting feed data. This project tries to analyse these functionalit... ogdigger] http://www.blogdigger.com/ <del>=== Data stream query processing === RSS feeds can logica
Consortium description: 29 Occurrences trouvées
long complementary experience in distributed [[wp>data management]] focused on [[wp>XML]] data and [[wp>peer-to-peer]] architectures: [[http://wisdom.lip6.fr... 3things| |XQuery implementation | | |x|x| | |XML data warehousing |x|x| | |x| |P2P query mediation and view-based data integration | |x| |x| | |semantic web and RDF/XML
Challenges and issues: 22 Occurrences trouvées
tured, multi-channel) - feed aggregation and data integration views - ranking and top-k querie... syndication, XML query processing and distributed data and query processing creates new technical and s... t we intend to tackle in this project : - RSS data model and algebra : RSS feeds are ordered sequenc... project will be the definition of a //formal RSS data model and algebra// with the precise semantics in
Sujet de thèse: 17 Occurrences trouvées
blem of modeling RSS feeds as an extension of XML data with temporal, dynamic features and the problem o... ther WP **Subject**: Models and applications for data syndication on the web === Context === In order ... e problems by collecting and aggregating web feed data. One goal of these portals is to index feed data (similar to search engines for standard web ressources
Wisdom: 17 Occurrences trouvées
CNAM (PhD, 1997). His research topics concern XML data integration on the web and P2P architectures for ... xing and querying of spatial and spatio-temporal data. He also worked on the interrogation of temporal ... 003 - PhD, 2006). His research topics concern XML data interrogation and optimization on the web. He par... XLive software, an XML mediator for heterogeneous data sources. === Wisdom-LIP6 === [[http://www-pol
Topic Extraction and Alignment for Large Scientific Document Collections: 15 Occurrences trouvées
These tools are based on efficient algorithms and data structures implemented on top of recent big-data infrastructures like Apache Spark. A topic evolution ... ed through specific evolution links. For example, data related research topics have rapidly evolved duri... ere new research topics have appeared (noSQL, Big Data, MapReduce Data Processing, Data Science, Deep Le
EPIQUE Project Description: 15 Occurrences trouvées
es to share them within a research project. These data sets will be a general driving force for the proj... of science, who need to test their theories with data, in particular about the ways fields cross-fertil... y of science and the computer science work on big data [NPS14][NPS11]. ==== Challenge 2: Large-scale te... making sense of unstructured text through generic data processing tasks (graph clustering, similarity ma
EPIQUE Project Description: 15 Occurrences trouvées
es to share them within a research project. These data sets will be a general driving force for the proj... of science, who need to test their theories with data, in particular about the ways fields cross-fertil... y of science and the computer science work on big data [NPS14][NPS11]. ==== Challenge 2: Large-scale te... making sense of unstructured text through generic data processing tasks (graph clustering, similarity ma
TME RDF et SPARQL (2020): 10 Occurrences trouvées
partie pré-requis). Vérifier que le repertoire ''data'' contient bien les fichiers utiles au TME en exécutant <code bash> ls data </code> qui doit retourner <code bash> ex1.ttl ex... -fuseki-3.17.0/bin/s-put http://localhost:3030/ds/data http://mlbda/ex1 data/ex1.ttl apache-jena-fuseki-3.17.0/bin/s-put http://localhost:3030/ds/data http://
Hubert Naacke: 9 Occurrences trouvées
interests are: * Querying big textual/semantic data * Parallel query processing using a cluster com... ze the [[https://senagro.sn|SenAgro]] workshop on data science applied to agriculture which takes place ... uary 2022. Title: Scalability and quality of big data management applied to various use cases. I am in... s: [[site:recherche:projets:senagro:start|Senagro Data Scikit CNRS project]], [[site:recherche:projets:l
Project description: 8 Occurrences trouvées
e problems by collecting and aggregating web feed data. One goal of these portals is to index feed data (similar to search engines for standard web ressource... the ROSES project is to apply and evaluate modern data management technology in the context of web syndi... an be considered as a large-scale distributed XML data management problem : - The two main web feed fo
RDFdist : RDF distribution approaches using Spark: 6 Occurrences trouvées
) the query workload ii) the source code for both data preparation and query evaluation, and iii) the d... pproaches for the LUBM datasets. It consists of a data preparation part followd by a query evaluation pa... lis(); /** * set inputData with the path to the data encoded as quadruples (see Datasets excerpts) */ ... + scale /** * set inputData with the path to the data encoded as quadruples (see Datasets excerpts) */
WatDiv Query S1 plans: 6 Occurrences trouvées
plan === <code scala> // random partitioning val DATA = dfDefault val t1 = DATA.where(s"(p=$idOffers and s=$retailer)").select("o").withColumnRenamed("o","s... .map{case(ns, p) => { val idP = getIdP(ns, p) DATA.where(s"p=$idP").select("s","o").withColumnRename... count // 78 413 119 // Merging time=4,885s val DATA = subset val t1 = DATA.where(s"(p=$idOffers and
LIP6 Database Research Team: 6 Occurrences trouvées
eam has a long research experience in large scale data processing. Its research covers a variety of prob... query optimisation and information retrieval for data-centric web applications. The main contributions ... query optimisation in publish-subscribe systems, data acquisition and indexing for web archives, distri... [[http://www.cnrseditions.fr/societe/7429-les-big-data-a-decouvert.html|{{:site:les-big-data-a-decouvert
[Pré-requis] Introduction à Scala: 6 Occurrences trouvées
RDFdist: 6 Occurrences trouvées
Bernd Amann: 5 Occurrences trouvées
Utilisation de Spark sous Databricks: 5 Occurrences trouvées
Bernd Amann: 5 Occurrences trouvées
[TME II-1] Introduction à Spark (Algèbre RDD): 5 Occurrences trouvées
WatDiv Query F5 plans: 4 Occurrences trouvées
Senagro Data Scikit: 4 Occurrences trouvées
EPIQUE: 4 Occurrences trouvées
Ndiouma Bame: 4 Occurrences trouvées
Ndiouma Bame: 4 Occurrences trouvées
RoSeS: 3 Occurrences trouvées
Recueil d'examens: 3 Occurrences trouvées
Stages: 3 Occurrences trouvées
MU4IN803 : SAM - Stockage et Accès aux Mégadonnées (fév 2020): 3 Occurrences trouvées
Ancien TME Index 2017: 2 Occurrences trouvées
4I803 BDR : Bases de Données Réparties FEVRIER 2019: 2 Occurrences trouvées
4I803 BDR : Bases de Données Réparties (fév 2019): 2 Occurrences trouvées
TME 4-5 Plan et Index: 2 Occurrences trouvées
SPARQL query processing with Apache Spark: 2 Occurrences trouvées
Loading WatDiv Dataset: 2 Occurrences trouvées
SPARQL query processing with Apache Spark: 2 Occurrences trouvées
Schema Inference from Massive JSON Datasets: 2 Occurrences trouvées
TME N1QL sous Couchbase: 2 Occurrences trouvées
Publications: 2 Occurrences trouvées
Equipe Bases de Données: 2 Occurrences trouvées
Schema Inference from Massive JSON Datasets: 2 Occurrences trouvées
EPIQUE: Topic Extraction and Alignment for Large Scientific Document Collections: 2 Occurrences trouvées
Camelia CONSTANTIN: 2 Occurrences trouvées
Sujets de thèse: 2 Occurrences trouvées
Camelia Constantin: 2 Occurrences trouvées
Formatting Syntax: 1 Occurrences trouvées
Utilities: 1 Occurrences trouvées
SQL et récursion: 1 Occurrences trouvées
SnowFlake query Q8 plans: 1 Occurrences trouvées
Ancien TME 2016: Jointure parallèle: 1 Occurrences trouvées
TME RDF et SPARQL Jena: 1 Occurrences trouvées
EPIQUE : Reconstruire l'évolution des sciences à grande échelle: 1 Occurrences trouvées
Stages: 1 Occurrences trouvées
Projets: 1 Occurrences trouvées
BIUM : Business Intelligence and User Modeling: 1 Occurrences trouvées
EPIQUE: Topic Extraction and Alignment for Large Scientific Document Collections: 1 Occurrences trouvées
Formation Continue: 1 Occurrences trouvées
Projects and contracts: 1 Occurrences trouvées
Projects and contracts: 1 Occurrences trouvées
Stages: 1 Occurrences trouvées
Mobility for epidemiology: 1 Occurrences trouvées
Résultats: 1 Occurrences trouvées
EPIQUE Prototype demonstration: 1 Occurrences trouvées
SQLWorkbench: 1 Occurrences trouvées
MU5IN860: Linked Open Data et Apprentissage Symbolique: 1 Occurrences trouvées
Documentation sur Oracle 10G: 1 Occurrences trouvées
TME Index 2020: 1 Occurrences trouvées
LakeMap: 1 Occurrences trouvées
TME 1 - SQL avancé sur la base Mondial: 1 Occurrences trouvées
TME PL/SQL: 1 Occurrences trouvées
TME Index: 1 Occurrences trouvées

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