Français Anglais
Accueil Annuaire Plan du site
Accueil > Production scientifique > Résultat majeur
Production scientifique
Résultat majeur : SOMERDFS IN THE SEMANTIC WEB
SOMERDFS IN THE SEMANTIC WEB
01 janvier 2007

By Philippe Adjiman, François Goasdoué, and Marie-Christine Rousset. Journal on Data Semantics, No 8, pages 158-181, Springer Journal (LNCS 4380), 2007.
The Semantic Web envisions a world-wide distributed architecture where computational resources will easily inter-operate to coordinate complex tasks such as query answering. Semantic marking up of web resources using ontologies is expected to provide the necessary glue for making this vision work. Using ontology languages, (communities of) users will build their own ontologies in order to describe their own data. Adding semantic mappings between those ontologies, in order to semantically relate the data to share, gives rise to the Semantic Web: data on the web that are annotated by ontologies networked together by mappings. In this vision, the Semantic Web is a huge semantic peer data management system. In this paper, we describe the SomeRDFS peer data management systems that promote a "simple is beautiful" vision of the Semantic Web based on data annotated by RDFS ontologies.



Activités de recherche
  ° Intelligence Artificielle
  ° Bases de données
  ° Représentation des connaissances
  ° Intégration d'informations
  ° Web sémantique
  ° Algorithmique répartie

Equipe
  ° Intelligence Artificielle et Systèmes d'Inférence

Contact
  [aucun]
Résultats majeurs
MODEL TRANSFORMATION AS CONSERVATIVE THEORY-TRANSFORMATION
30 octobre 2020
We present a new technique to construct tool support for domain-specific languages (DSLs) inside the

BEST STUDENT PAPER AWARD (ML) AT ECML 2019
20 septembre 2019
Guillaume Doquet (A&O), Best Student Paper Award (category Machine Learning) at ECML 2019.

BEST PAPER AWARD - HPCS 2019 - ON SERVER-SIDE FILE ACCESS PATTERN MATCHING
17 juillet 2019
Francieli Zanon Boito¹ , Ramon Nou², Laércio Lima Pilla³, Jean Luca Bez⁴, Jean-François Méhaut¹, T

BEST FULL PAPER AWARD EDM 2019 - EDUCATIONAL DATA MINING
05 juillet 2019
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Ski

BEST PAPER AWARD - CODIT2019 - STOCHASTIC DUAL DYNAMIC INTEGER PROGRAMMING FOR A MULTI-ECHELON LOT-SIZING PROBLEM WITH REMANUFACTURING AND LOST SALES
14 mai 2019
Franco Quezada, Céline Gicquel and Safia Kedad-Sidhoum