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: | |
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| Další autoři: | , |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin [etc.] :
Springer
201X.
Berlin [etc.] : |
| Edice: | Lecture notes in computer science
2818 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| 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 |
| 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. |
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| Popis jednotky: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783540451945 (PDF) |
| ISSN: | 1611-3349 |
| Přístup: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |

