异构文本数据转换中XML解析方法对比研究

Comparative Study of XML Parsing Methods in Heterogeneous Text Data Conversion

对异构文本数据转换过程中解析XML文本的DOM、SAX、JDOM、DOM4J方法进行对比研究,以解析时间、内存堆占用空间、CPU占用率为评价指标来判定4种解析方法的优劣。该评价方法的优势在于当数据量或数据属性发生变化时,4种解析方法对评价结果的影响仍具有良好的区分度。通过对10份Web日志异构文本数据转换后的XML数据集进行比较,实验结果表明,当数据量增大且以解析时间为重点时,DOM4J解析方法优于其他3种解析方法,当以空间占用为重点时,SAX解析方法优于其他3种解析方法。

This paper compares and studies the DOM,SAX,JDOM,DOM4J methods for parsing XML texts in heterogeneous text data conversion.The pros and cons of the four parsing methods are judged based on parsing time,memory heap space,and CPU occupancy rate.The advantage of this evaluation method is that when the amount of data or data attributes change,the impact of the four analytical methods on the evaluation results still has a good degree of discrimination.By comparing 10 converted XML datasets of heterogeneous text data of Web log,experimental results show that when the amount of data increases and the analysis time is mainly concerned,the DOM4J parsing method is superior to the other three analysis methods.When space occupation is mainly concerned,the SAX parsing method is superior to the other three analysis methods.