00000cmm a22000004i 4500 UP-99796217611211884 Buklod 20140423122509.0 m go j cr cn |||aaaaa 110924s2011 xx u | eng d 9783642229138 (eBook) 3642229131 (eBook) (iLib)UPD-00214608012 DML eng DMLUC QA 76.9 D35 L43 2011eb Learning structure and schemas from documents [electronic resource] Marenglen Biba, Fatos Xhafa (Eds.). Berlin Heidelberg Springer 2011. 1 online resource (xviii, 441 p.) 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. IP-based subscription, access limited to within on-campus network. Access via Electronic Resources of the UPD University Library Website. 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. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Electronic books. Data structures (Computer science) Semantic Web. Biba, Marenglen. Xhafa,Fatos. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-22913-8 FO Monograph UPD DMLR Electronic Resource