基于聚类的标签方案的性能评价

Alhadi A. Klaib, C. C. Venters
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引用次数: 0

摘要

XML是在Internet世界中格式化和交换数据的常用技术。更新和检索XML数据是一个活跃的研究领域。此外,为XML数据建立索引是提高XML查询效率的重要任务。标记节点是用于有效索引XML数据的技术。为了解决XML数据索引的局限性和挑战,提出了基于聚类的标记方案(CLS)。本文旨在评估基于聚类的标签方案的性能。因此,我们确定并设计了一套实验来进行评价。此外,还确定了一个适合测试CLS方案的数据集。随后,进行实验,然后对结果进行分析和评估,以获得实验结果。因此,这些实验的结果表明,CLS以很少的期望达到了目标结果。因此,该评估显示了标记XML文档的性能和效率的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Performance Evaluation of the Clustering-based Labelling Scheme
XML is a common technique for formatting and exchanging data across the Internet world. Updating and retrieving XML data is an active research area. In addition, indexing XML data is a significant task to improve the efficiency of XML queries. Labelling nodes is the used technique for indexing XML data efficiently. The Clustering-based Labelling Scheme (CLS) was proposed to address some limitations and challenges of indexing XML data. This paper aims to evaluate the performance of the clustering-based labelling scheme. Thus, a set of experiments were identified and designed for the evaluation purpose. Moreover, an appropriate dataset for testing the CLS scheme was identified. Subsequently, the experiments were carried out, and then the results were analysed and assessed to gain the findings of the experiments. Consequently, the results of these experiments suggest that the CLS achieved the target results with few expectations. Therefore, this evaluation showed an improvement in the performance and oefficiency of labelling XML documents.
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