Learning structure and schemas from documents [electronic resource] / Marenglen Biba, Fatos Xhafa (eds.)
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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| Online Access: |
Full Text (via Springer) |
|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin ; Heidelberg :
Springer,
©2011.
|
| Series: | Studies in computational intelligence ;
v. 375. |
| Subjects: |
Table of Contents:
- 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.