Learning Structure and Schemas from Documents is popular PDF and ePub book, written by Marenglen Biba in 2011-09-03, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Learning Structure and Schemas from Documents can be Read Online from any device for your convenience.
Learning Structure and Schemas from Documents Book PDF Summary
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 the extremely large volumes of documents and to their unstructured form, most of the research efforts in this direction are dedicated to automatically infer structure and schemas that can help to better organize huge collections of documents and data. This book covers the latest advances in structure inference in heterogeneous collections of documents and data. The book brings a comprehensive view of the state-of-the-art in the area, presents some lessons learned and identifies new research issues, challenges and opportunities for further research agenda and developments. The selected chapters cover a broad range of research issues, from theoretical approaches to case studies and best practices in the field. Researcher, software developers, practitioners and students interested in the field of learning structure and schemas from documents will find the comprehensive coverage of this book useful for their research, academic, development and practice activity.
Detail Book of Learning Structure and Schemas from Documents PDF
- Author : Marenglen Biba
- Release : 03 September 2011
- Publisher : Springer Science & Business Media
- ISBN : 9783642229121
- Genre : Computers
- Total Page : 449 pages
- Language : English
- PDF File Size : 11,6 Mb
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