In this book, you will find discussions on the newest native XML databases, along with information on working with XML-enabled relational database systems. In addition, XML Data Management thoroughly examines benchmarks and analysis techniques for performance of XML databases. This book is best used by students that are knowledgeable in database technology and are familiar with XML.

Data model. Queries. Types. Sysems. A syntax for data. XML.. Query languages. Query languages for XML. Interpretation and advanced features. Typing semistructured data. Query processing. The lore system. Strudel. Database products supporting XML. Bibliography. Index. About the authors.

The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smartphones and websites. 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 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. The book will serve as an introduction to the new, global, information systems for Web professionals and master's level courses.

"XML for Data Architects" focuses on the combination of architectural and design approaches to using XML, providing numerous syntactical and working examples. It describes the challenges of using XML in a manner that promotes simplification of integration, and a high degree of schema reuse.

XML-based Content Management: Integration, Methodologies and Tools covers the design and deployment of XML-based solutions and how to manage content and metadata, a practice that requires a more methodological approach than those traditionally applied to the design and deployment of document and content management solutions. The extensive use of XML implies the need of adding additional activities, quality controls, and tools to the established document-management and web-application design processes. The book describes a methodology that covers the different phases of the content and metadata management lifecycle, from generation, to archiving, to compliance with existing content management and archiving standards. In addition, the book reviews the key characteristics of the tools necessary for storage, retrieval and delivery. Focuses on methodologies for the design and deployment of XML-based content management solutions based on standards like BMPN and SPEM Provides an updated view of consolidated technologies for structured data management Explains the link between technologies for content storage and distribution Presents the conceptual knowledge to understand and relate the strategic view provided by OAIS with the management of daily operations focused on content collection, aggregation and publishing

"This book is a collection of knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods and systems for XML data mining that can be used to address key issues and challenges in XML data mining"--Provided by publisher.

Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.