Search (5 results, page 1 of 1)

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LCSH

Expert systems (Computer science)

Subject

Expert systems (Computer science)

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Abstract

Although Learning XML covers XML with a broad brush, it nevertheless presents the key elements of the technology with enough detail to familiarise the reader with the crucial markup language. This guide is brief enough to tackle in a weekend. Author Erik T Ray begins with an excellent summary of XML's history as an outgrowth of SGML and HTML. He outlines very clearly the elements of markup, demystifying concepts such as attributes, entities and namespaces with numerous clear examples. To illustrate a real-world XML application, he gives the reader a look at a document written in DocBook--a publicly available XML document type for publishing technical writings--and explains the sections of the document step by step. A simplified version of DocBook is used later in the book to illustrate transformation--a powerful benefit of XML. The all-important Document Type Definition (DTD) is covered in depth, but the still-unofficial alternative--XML Schema--is only briefly addressed. The author makes liberal use of graphical illustrations, tables and code to demonstrate concepts along the way, keeping the reader engaged and on track. Ray also gets into a deep discussion of programming XML utilities with Perl. Learning XML is a highly readable introduction to XML for readers with existing knowledge of markup and Web technologies, and it meets its goals very well--to deliver a broad perspective of XML and its potential.

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Series

Lecture notes in computer science; 6497

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Abstract

Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information on retrieval design and implementation questions is provided. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Neuaufl. 2005: Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.

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Series

Lecture notes in computer science; 6496