Titre :

MuMIe: Multi-level Metadata Mapping System

Auteur(s) :

Amir, Samir [Auteur]
FOX MIIRE [LIFL]
Bilasco, Ioan Marius [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Djeraba, Chaabane [Auteur]
FOX MIIRE [LIFL]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Titre de la revue :

Journal of Multimedia

Éditeur :

Academy Publisher

Date de publication :

2011-06-01

ISSN :

1796-2048

Discipline(s) HAL :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Recherche d'information [cs.IR]
Informatique [cs]/Multimédia [cs.MM]
Informatique [cs]/Base de données [cs.DB]
Informatique [cs]/Intelligence artificielle [cs.AI]

Résumé en anglais : [en]

The recent growth of multimedia requires an extensive use of metadata for their management. However, a uniform access to metadata is necessary in order to take advantage of them. In this context, several techniques for ...
Lire la suite >The recent growth of multimedia requires an extensive use of metadata for their management. However, a uniform access to metadata is necessary in order to take advantage of them. In this context, several techniques for achieving metadata interoperability have been developed. Most of these techniques focus on matching schemas defined by using one schema description language. The few existing matching systems that support schemas from different languages present some limitations, especially when using semantic and structural information. In this paper we present a new integration system supporting schemas from different description languages. Moreover, the proposed matching process makes use of several types of information (linguistic, semantic and structural) in a manner that increases the matching accuracy.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL