Evaluation of queries on tree-structured data using dimension graphs

Theodore Dalamagas, D. Theodoratos, Antonis Koufopoulos, Vincent Oria
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引用次数: 2

Abstract

The recent proliferation of XML-based standards and technologies for managing data on the Web demonstrates the need for effective and efficient management of tree-structured data. Querying tree-structured data is a challenging issue due to the diversity of the structural aspect in the same or in different trees. In this paper, we show how to evaluate queries on tree-structured data, called value trees. The formulation of these queries does not depend on the structure of a particular value tree. Our approach exploits semantic information provided by dimension graphs. Dimension graphs are semantically rich constructs that abstract the structural information of the value trees. We show how dimension graphs can be used to query efficiently value trees in the presence of structural differences and irregularities. Value trees and their dimension graphs are represented as XML documents. We present a method for transforming queries to XPath expressions to be evaluated on the XML documents. We also provide conditions for identifying strongly and weakly unsatisfiable queries. Finally, we conducted various experiments to compare our method for evaluating queries with one that does not exploit dimension graphs. Our results demonstrate the superiority of our approach.
使用维度图对树结构数据的查询进行评估
最近用于管理Web上数据的基于xml的标准和技术的激增表明,需要对树状结构的数据进行有效和高效的管理。由于同一树或不同树中结构方面的多样性,查询树结构数据是一个具有挑战性的问题。在本文中,我们展示了如何评估树结构数据(称为值树)上的查询。这些查询的公式不依赖于特定值树的结构。我们的方法利用了维图提供的语义信息。维图是语义丰富的结构,抽象了值树的结构信息。我们展示了如何使用维度图在存在结构差异和不规则性的情况下有效地查询值树。值树及其维图表示为XML文档。我们提出了一种将查询转换为XPath表达式的方法,以便在XML文档上求值。我们还提供了识别强不满足查询和弱不满足查询的条件。最后,我们进行了各种实验,将我们的查询评估方法与不利用维图的方法进行比较。我们的结果证明了我们的方法的优越性。
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