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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Biba, Marenglen (Editor ), Xhafa, Fatos (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Studies in Computational Intelligence, 375
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.