Consequently, an interpreter cannot make any sound judgments about the semantics as the tags could as well have enclosed information about a car and its parts. Systems such as WIRE (Aggarwal et al. 1998) can interpret the information by using search templates based on the structure of HTML files and the importance of information enclosed in tags defining headings and so forth. However, such interpretation lacks soundness, and its accuracy is context dependent. 

As organizations begin to employ XML within their information-management and exchange strategies, data management issues pertaining to storage, retrieval, querying, indexing, and manipulation increasingly arise. Moreover, new information-modeling challenges also appear. XML Data Management—with its contributions from experts at the forefront of the XML field—addresses these key issues and challenges, offering insights into the advantages and drawbacks of various XML solutions, best practices for modeling information with XML, and developing custom, in-house solutions. Купить золото. Ювелирные изделия золотые кольца. 

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.

Topics covered include:

# The power of good grammar and style in modeling information to alleviate the need for redundant domain knowledge 

# Tamino's XML storage, indexing, querying, and data access features

# The features and APIs of open source eXist

# Berkeley DB XML's ability to store XML documents natively

# IBM's DB2 Universal Database and its support for XML applications

# Xperanto's method of addressing information integration requirements

# Oracle's XMLType for managing document centric XML documents

# Microsoft SQL Server 2000's support for exporting and importing XML data

# A generic architecture for storing XML documents in a relational database

# X007, XMach-1, XMark, and other benchmarks for evaluating XML database performance

Numerous case studies demonstrate real-world problems, industry-tested solutions, and creative applications of XML data management solutions.

Written for both XML and relational database professionals, XML Data Management provides a promising new approach to data management, one that is sure to positively impact the way organizations manage and exchange information.