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XML - short for the W3C eXtended Markup Language - is highly successful as a format for data interchange. So far, the focus with XML has been on data-centric settings, i.e., XML documents with strict and regular structure. However, this disregards many important settings that require textual or semi-structured data with little or flexible structure. XML, however, is flexible enough to cover these so-called document-centric settings in addition to data-centric ones. This book presents an XML engine for storage and retrieval of XML documents which covers the full range from data-centric to document-centric applications on a single integrated platform. It proposes to extend data-centric XML query languages such as W3C XPath with document-centric functionality needed for relevance-oriented ranked retrieval on XML documents. Moreover, it investigates transaction management for concurrent XML processing and contributes a novel locking protocol that allows for higher concurrency and more parallelism than off-the-shelf database transaction management.To make XML storage and retrieval efficient and highly scalable, both data-centric and document-centric XML contents are stored on a cluster of relational database systems. The overall result is a scalable infrastructure for storage and retrieval of XML documents with up-to-date retrieval results supporting state-of-the-art ranked retrieval models.
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XML short for the W3C eXtended Markup Language is highly successful as a format for data interchange. So far, the focus with XML has been on data-centric settings, i.e., XML documents with strict and regular structure. However, this disregards many important settings that require textual or semi-structured data with little or flexible structure. XML, however, is flexible enough to cover these so-called document-centric settings in addition to data-centric ones. This book presents an XML engine for storage and retrieval of XML documents which covers the full range from data-centric to document-centric applications on a single integrated platform. It proposes to extend data-centric XML query languages such as W3C XPath with document-centric functionality needed for relevance-oriented ranked retrieval on XML documents. Moreover, it investigates transaction management for concurrent XML processing and contributes a novel locking protocol that allows for higher concurrency and more parallelism than off-the-shelf database transaction management. To make XML storage and retrieval efficient and highly scalable, both data-centric and document-centric XML contents are stored on a cluster of relational database systems. The overall result is a scalable infrastructure for storage and retrieval of XML documents with up-to-date retrieval results supporting state-of-the-art ranked retrieval models.
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Storage and Retrieval of XML Documents with a Cluster of Database Systems Vol 82 Dissertations in Database Information Systems Infix S
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This work presents an XML engine for storage and retrieval of XML documents which covers the full range from data-centric to document-centric applications on a single integrated platform. It also investigates transaction management for concurrent XML proces. Codice articolo 448126156
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - XML - short for the W3C eXtended Markup Language - is highly successful as a format for data interchange. So far, the focus with XML has been on data-centric settings, i.e., XML documents with strict and regular structure. However, this disregards many important settings that require textual or semi-structured data with little or flexible structure. XML, however, is flexible enough to cover these so-called document-centric settings in addition to data-centric ones. This book presents an XML engine for storage and retrieval of XML documents which covers the full range from data-centric to document-centric applications on a single integrated platform. It proposes to extend data-centric XML query languages such as W3C XPath with document-centric functionality needed for relevance-oriented ranked retrieval on XML documents. Moreover, it investigates transaction management for concurrent XML processing and contributes a novel locking protocol that allows for higher concurrency and more parallelism than off-the-shelf database transaction management. To make XML storage and retrieval efficient and highly scalable, both data-centric and document-centric XML contents are stored on a cluster of relational database systems. The overall result is a scalable infrastructure for storage and retrieval of XML documents with up-to-date retrieval results supporting state-of-the-art ranked retrieval models. Codice articolo 9781586033712
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