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  • Prototypes
  • topbar
  • Description technique détaillée (fiche B)
  • Welcome to your new DokuWiki
  • Photos des membres
  • ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics
  • ATEM : A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives
  • CTC: Contextualized Topic Coherence Metrics
  • EPIQUE: Topic Extraction and Alignment for Large Scientific Document Collections
  • MU4IN803 : SAM - Stockage et Accès aux Mégadonnées (fév 2020)
  • Cartographie d'un datalake apprise par renforcement avec budget contraint
  • TME KVStore (facultatif)
  • EPIQUE Prototype demonstration
  • Schéma de customer
  • How to join us at LIP6
  • ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics
  • ATEM : A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives
  • CTC: Contextualized Topic Coherence Metrics
  • EPIQUE: Topic Extraction and Alignment for Large Scientific Document Collections
  • Topic Extraction and Alignment for Large Scientific Document Collections
EPIQUE Project Description: 80 Occurrences trouvées
g Science evolution ==== Our first challenge is to build global semantic maps of the evolution of sc... science). The ISC-PIF partner already has access to these datasets, including the WoS raw format until 2015, with the appropriate licences to share them within a research project. These data ... e solutions. As a first goal, the project intends to contribute to our overall understanding of the ev
EPIQUE Project Description: 80 Occurrences trouvées
g Science evolution ==== Our first challenge is to build global semantic maps of the evolution of sc... science). The ISC-PIF partner already has access to these datasets, including the WoS raw format until 2015, with the appropriate licences to share them within a research project. These data ... e solutions. As a first goal, the project intends to contribute to our overall understanding of the ev
Formatting Syntax: 66 Occurrences trouvées
supports some simple markup language, which tries to make the datafiles to be as readable as possible. This page contains all possible syntax you may use ... is page by pressing "Edit this page". If you want to try something, just use the [[playground:playgrou... raphs** are created from blank lines. If you want to **force a newline** without a paragraph, you can
Economical context : the "Bloggy" Web: 50 Occurrences trouvées
al context and certain research activites related to the project. The state-of-the art is completed in... "Bloggy" Web === Web content syndication refers to publishing so called //feeds// in order to inform other people or applications about recently added ... ration for tools and environments for subscribing to and observing feeds. {{feeds-web2.0.png|Fig.
Challenges and issues: 24 Occurrences trouvées
echnical and scientific challenges that we intend to tackle in this project : - RSS data model and... point of view, aggregating RSS feeds corresponds to querying (virtually infinite) sequences of items ... th/Xquery) XML documents. In particular we intend to evaluate and extend an existing RSS aggregation s... cing, high availability through replication, ...) to RSS syndication applications, if it is combined w
Consortium description: 24 Occurrences trouvées
gement]] focused on [[wp>XML]] data and [[wp>peer-to-peer]] architectures: [[http://wisdom.lip6.fr/|{... nt. Its current activities concern issues related to distributed data management in large-scale distr... eme) and P2P architectures, views for easy access to heterogeneous XML data and P2P content management. __Research experience related to the proposal__ (systems, prototypes, publication
Project description: 19 Occurrences trouvées
rmation and their "publication lag" corresponding to the time necessary for reaching these clients. F... ation lag. News forums improve precision but need to be moderated in order to guarantee the origin and the quality of the published information. The origi... but suffers from an important publication lag due to the low refresh rate of web search engines. In o
Welcome to your new DokuWiki: 17 Occurrences trouvées
====== Welcome to your new DokuWiki ====== Congratulations, your wiki is now up and running. Here are a few more tips to get you started. Enjoy your work with DokuWiki,\... == Create your first pages ===== Your wiki needs to have a start page. As long as it doesn't exist, t... d help with using the syntax you can always refer to the [[wiki:syntax|syntax page]]. You might also
Sujet de thèse: 15 Occurrences trouvées
ations based on this model. Dan: participation to other WP **Subject**: Models and applications fo... syndication on the web === Context === In order to reduce the time interval necessary for an information published on a web site to reach the interested users, more and more web sit... ing new information in form of web feeds or blogs to interested users who actively subscribe to these
Topic Extraction and Alignment for Large Scientific Document Collections: 13 Occurrences trouvées
ratory (http://www.lip6.fr) in Paris. The goal is to develop new tools for exploring large scientific... ow: * Topic extraction step: The first step is to extract semantic topic structures from large comp... rithms do not scale and a first challenge will be to define and adapt scalable data mining solutions b... opics from different time periods [1].The goal is to propose a formal topic evolution model based on e
RDFdist: 11 Occurrences trouvées
dataset, namely #2, #9 and #12 which are referred to as Query 2, Query 3 and Query 4, respectively. We have created an addirional one referred to as Query 1. We also created two queries for the [... a:Main_Page|Wikidata]] dataset which are referred to as Query 5 and Query 6. ===Query 1 (synthetic, L... sed approaches==== The following code corresponds to the triple hashing and subject hashing approaches
RDFdist : RDF distribution approaches using Spark: 11 Occurrences trouvées
dataset, namely #2, #9 and #12 which are referred to as Query 2, Query 3 and Query 4, respectively. We have created an addirional one referred to as Query 1. We also created two queries for the [... a:Main_Page|Wikidata]] dataset which are referred to as Query 5 and Query 6. ===Query 1 (synthetic, L... sed approaches==== The following code corresponds to the triple hashing and subject hashing approaches
Wisdom: 10 Occurrences trouvées
ectures for content distribution. He participated to the Xyleme project at INRIA and was part-time in Xyleme SA. He participated to the ACI SemWeb and to the EDOS European project. He is also external adviser in the Gemo group at INR... tion and optimization on the web. He participated to different projects : SemWeb (ACI), WebContent (RN
Résultats: 10 Occurrences trouvées
tion items, while information consumers subscribe to a number of RSS/Atom feeds (i.e., streams) and ge... ications such as Twitter and Facebook rely on RSS to notify users about the newly available posts of t... l characteristics do not provide a precise and up-to-dated characterization of feeds' behavior and con... er a 8 month period of 10,794,285 items belonging to 8,155 productive feeds (out of the 12,611 harvest
WatDiv Query S1 plans: 7 Occurrences trouvées
DokuWiki: 6 Occurrences trouvées
adapted-xmark-xsd: 6 Occurrences trouvées
SGBD H2: 4 Occurrences trouvées
CTC: Contextualized Topic Coherence Metrics: 4 Occurrences trouvées
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics: 4 Occurrences trouvées
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics: 4 Occurrences trouvées
SGBD H2: 4 Occurrences trouvées
Utilities: 4 Occurrences trouvées
CTC: Contextualized Topic Coherence Metrics: 4 Occurrences trouvées
EPIQUE: Topic Extraction and Alignment for Large Scientific Document Collections: 4 Occurrences trouvées
Publications: 4 Occurrences trouvées
Loading WatDiv Dataset: 4 Occurrences trouvées
Hubert Naacke: 4 Occurrences trouvées
WatDiv Query F5 plans: 3 Occurrences trouvées
SQL et récursion: 3 Occurrences trouvées
Delivrables: 3 Occurrences trouvées
SPARQL query processing with Apache Spark: 3 Occurrences trouvées
TME Index: 3 Occurrences trouvées
TME Index 2020: 3 Occurrences trouvées
TME 4-5 Plan et Index: 3 Occurrences trouvées
EPIQUE: 3 Occurrences trouvées
TME 8: création de schémas – contraintes d'intégrité: 3 Occurrences trouvées
How to join us at LIP6: 3 Occurrences trouvées
SPARQL query processing with Apache Spark: 3 Occurrences trouvées
Ancien TME Index 2017: 2 Occurrences trouvées
Publications: 2 Occurrences trouvées
RoSeS: 2 Occurrences trouvées
graphes-neo4j-exemple-cours: 2 Occurrences trouvées
EPIQUE Examples of results: 2 Occurrences trouvées
Star shape query plans: 2 Occurrences trouvées
Mobility for epidemiology: 1 Occurrences trouvées
TME Jointure répartie: 1 Occurrences trouvées
Publications: 1 Occurrences trouvées
experimaestro : Computer science experiment scheduler and manager: 1 Occurrences trouvées
Senagro Data Scikit: 1 Occurrences trouvées
TME 7: Requêtes d'agrégation et Division: 1 Occurrences trouvées
TME Jointure répartie: 1 Occurrences trouvées
Chain4 query plans: 1 Occurrences trouvées
EPIQUE Prototype demonstration: 1 Occurrences trouvées
Chain6 query plans: 1 Occurrences trouvées
WatDiv Query C3 plans: 1 Occurrences trouvées
Utilisation de Spark sous Databricks: 1 Occurrences trouvées

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