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Currently, there exists an overburdening growth in the number of reliable information sources on the Internet. At the same time, temporal and cognitive resources of human users are not changing. In an effort to curtail the information overload resulting from this conflict, recent research has attempted to provide methods and tools for web content extraction and aggregation. Success in these areas will greatly enhance business processes, and provide information seekers with new tools allowing them to reduce their time and cost involvement.
This book focuses on web content extraction and deep
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Produktbeschreibung
Currently, there exists an overburdening growth in the number of reliable information sources on the Internet. At the same time, temporal and cognitive resources of human users are not changing. In an effort to curtail the information overload resulting from this conflict, recent research has attempted to provide methods and tools for web content extraction and aggregation. Success in these areas will greatly enhance business processes, and provide information seekers with new tools allowing them to reduce their time and cost involvement.

This book focuses on web content extraction and deep web data integration, and the methods and tools used, as well as analyzing the limitations of existing technology and solutions. This volume presents an accessible, well-organized and comprehensive survey of this discipline. Professionals, researchers, and academics involved in information technology will all find this book a timely and essential reference.
Autorenporträt
Marek Kowalkiewicz, SAP Research Australia, Brisbane, Australia / Maria E. Orlowska, The University of Queensland, Brisbana, Australia / Tomasz Kaczmarek, Poznan University of Economics, Poznan, Poland / Witold Abramowicz, Poznan University of Economics, Poznan, Poland