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An Analysis of RDF View Maintenance using JENA

机译:使用JENA的RDF视图维护分析

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Objectives: This work provides an analysis of View maintenance of RDF structures for various data sizes using Jena. Methods/Statistical Analysis: We perform insert and deletion operations in files of three sizes and investigate how these operations are effected by the size of the file which is being worked upon. Five different experiments were conducted on the data files to provide a thorough analysis. Findings: The results from the experiments indicate that time taken for Insert operation increased proportionally however time remained the same for delete operations performed on the RDF data. It was also determined that first runs of any code in Jena took the longest time while time for operations reduced as more runs of the operations were made. Application/Improvements: The work provides a qualitative analysis of the updating of Semantic Web Content on the web.
机译:目标:这项工作提供了使用Jena对各种数据大小的RDF结构的View维护的分析。方法/统计分析:我们在三种大小的文件中执行插入和删除操作,并研究正在处理的文件大小如何影响这些操作。对数据文件进行了五个不同的实验,以提供全面的分析。结果:实验结果表明,插入操作所花费的时间成比例增加,但是对RDF数据执行的删除操作所花的时间却保持不变。还确定,随着更多操作的执行,Jena中任何代码的首次运行花费的时间最长,而操作时间却减少了。应用程序/改进:该工作对Web上语义Web内容的更新进行了定性分析。

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