Titlebook: Database and XML Technologies; Third International Stéphane Bressan,Stefano Ceri,Rainer Unland Conference proceedings 2005 Springer-Verlag

石墨

HATCH

Monique A. M. Gignac,Benjamin H. Gottliebor any other XML query language, the relational schema must allow fast retrieval of the parents, children, ancestors, or descendants of a given set of nodes. Most of the previous work has aimed at this goal using pre-/postorder encoding. Relying on this method, however, may lead to scalability probl

myopia

https://doi.org/10.1007/978-3-642-54681-5s of the benefits of using semi- or unstructured databases. Presently, there still lacks an index structure providing efficient support for structural queries and the traditional data-centric and content queries. This paper presents an extended index structure based on the preorder traversal rank an

笨重

Thomas Bausch,Madeleine Koch,Alexander Veseruage XPath?1.0. These queries have been designed for XML documents generated under XMark, a popular benchmark for XML data management. We suggest a methodology to evaluate the XPathMark on a given XML engine and, by way of example, we evaluate two popular XML engines using the proposed benchmark.

SAGE

https://doi.org/10.1007/978-3-642-54681-5eatures of the language, and at the same time allows one to individually validate XQuery evaluation techniques. This paper presents MemBeR, a ., allowing the evaluation of an XQuery implementation with respect to precise evaluation techniques. We take the view that a fixed set of queries is probably

BRUNT

Coronation

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拒絕

The Role of Groundwater During Drought of data models, and are processed by increasingly more complex tools that analyze and visualize them. We present in this paper our framework for integrating biomedical research data and tools into a unique Web front end. Our framework is applied to the University of Washington’s Human Brain Project

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The Role of Groundwater During Droughtppropriate XML indices, and the efficiency of runtime tasks like XML parsing and serialization. This paper discusses some of the runtime performance aspects of XML processing in relational database systems using Microsoft. SQL Server. 2005’s approach as an example. It also motivates a non-textual st