Existence of huge amounts of data on the Web has developed an undeferring need to locate right information at right time, as well as to integrating information effectively to provide a comprehensive source of relevant information. There is a need to develop efficient tools for analyzing and
Web Data Management
β Scribed by Serge Abiteboul, Ioana Manolescu, Philippe Rigaux, Marie-Christine Rousset, Pierre Senellart
- Publisher
- Cambridge University Press
- Year
- 2011
- Tongue
- English
- Leaves
- 451
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers, to smartphones, to websites such as Youtube and Picasa. As a consequence, data management concepts, methods, and techniques are increasingly focused on distribution concerns. Now that information largely resides in the network, so do the tools that process this information. This book explains the foundations of XML, the Web standard for data management, with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today's data integration applications and herald tomorrow's semantic Web. It also introduces the machinery used to manipulate the unprecedented amount of data collected on the Web. Several 'Putting into Practice' chapters describe detailed practical applications of the technologies and techniques. Striking a balance between the conceptual and the practical, the book will serve as an introduction to the new, global, information systems for Web professionals as well as for master's level courses
π SIMILAR VOLUMES
The existence of huge data volume on the Web has fueled an unrelenting need to locate the "right information at the right time," as well as to effectively develop an integrated, comprehensive information source. This calls for tools for efficiently analyzing and managing web data-and for efficientl
<p><P></P><P>The existence of huge data volume on the Web has fueled an unrelenting need to locate "right information at right time," as well as to effectively develop an integrated, comprehensive information source. This calls for tools for efficiently analyzing and managing web dataβand for effici
Effective and efficient data management is vital to todayβs applications. Traditional data management mainly focuses on information procession involving data within a single organization. Data are unified according to the same schema and there exists an agreement between the interacting units as to