Learning Structure and Schemas from Documents
The rapidly growing volume of available digital documents of various formats and the possibility to access these through Internet-based technologies, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Due to th...
Gardado en:
| Autor Principal: | |
|---|---|
| Outros autores: | , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2011. |
| Series: | Studies in Computational Intelligence
375 |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Learning Structure and Schemas from Documents, Texte imprimé, 9783642229121 • Learning Structure and Schemas from Documents, Texte imprimé, 9783642229121 • Learning Structure and Schemas from Documents, Texte imprimé, 9783642229145 • Learning Structure and Schemas from Documents, Texte imprimé, 9783662506714 |
Table des matières:
- From the content: Learning Structure and Schemas from Heterogeneous Domains in Networked Systems Surveyed Handling Hierarchically Structured Resources Addressing Interoperability Issues in Digital Libraries Administrative Document Analysis and Structure Automatic Document Layout Analysis through Relational Machine Learning Dataspaces: where structure and schema meet