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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2011, 2011
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| Edition: | 1st ed. 2011 |
| Series: | Studies in Computational Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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