Intelligent search on XML data : applications, languages, models, implementations, and benchmarks

Recently, we have seen a steep increase in the popularity and adoption of XML, in areas such as traditional databases, e-business, the scientific environment, and on the web. Querying XML documents and data efficiently is a challenging issue; this book approaches search on XML data by combining cont...

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Hlavní autor: Blanken, Henk M., 1942-
Další autoři: Grabs, Torsten (Šéfredaktor, odpovědný redaktor), Schek, Hans-Jörg, 1940- (Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Berlin [etc.] : Springer 201X.
Berlin [etc.] :
Edice:Lecture notes in computer science 2818
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Poznámka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Intelligent search on XML data, applications, languages, models, implementations, and benchmarks, Henk Blanken, Torsten Grabs, Hans-Jorg Schek ... [et al.] (eds.), 2003, Berlin, Springer, 1 vol. (XVII-319 p.), Lecture notes in computer science, 3-540-40768-5
• Intelligent Search on XML Data, Texte imprimé, 9783662171080
Popis
Shrnutí:Recently, we have seen a steep increase in the popularity and adoption of XML, in areas such as traditional databases, e-business, the scientific environment, and on the web. Querying XML documents and data efficiently is a challenging issue; this book approaches search on XML data by combining content-based methods from information retrieval and structure-based XML query methods and presents the following parts: applications, query languages, retrieval models, implementing intelligent XML systems, and evaluation. To appreciate the book, basic knowledge of traditional database technology, information retrieval, and XML is needed. The book is ideally suited for courses or seminars at the graduate level as well as for education of research and development professionals working on Web applications, digital libraries, database systems, and information retrieval.
Popis jednotky:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540451945 (PDF)
ISSN:1611-3349
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