{
"item_title" : "Learning Structure and Schemas from Documents",
"item_author" : [" Marenglen Biba", "Fatos Xhafa "],
"item_description" : "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.",
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783662506714
- ISBN-10: 3662506718
- Publisher: Springer
- Publish Date: August 2016
- Dimensions: 9.21 x 6.14 x 0.93 inches
- Shipping Weight: 1.41 pounds
- Page Count: 441
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