首页> 中文期刊> 《计算机应用与软件》 >基于词法分析和XML技术的多媒体试题批量导入研究

基于词法分析和XML技术的多媒体试题批量导入研究

         

摘要

Question importing is a nodus facing by current online education.Traditional online question importing is characterised by low efficiency and high error ratio.At present,some researches on question importing based on lexical and syntax analysis focus on the plain text-oriented questions importing.However,through analysing the item bank of China Unicom internal training platform,it is found that the multimedia questions including pictures and videos appear frequently.In order to address this problem,in the paper we put forward a batch importing method for multimedia questions,it is based on lexical analysis and XML technology.First,the method pre-treatments the paper to get a standard test paper model.Secondly,by questions analysing it gets a test paper in HTML format and disassembles the questions and answers according to HTML tag information.Finally,it stores the“questions-answers”to database in XML format and completes the question importing.This method has been successfully applied to China Unicom internal training platform,which efficiently solves the problem of multimedia questions importing.Compared with existing questions importing methods,this one supports more question types and has higher importing efficiency and accuracy.%试题导入是当前在线教育面临的一个难点问题。传统的在线试题导入效率较低而且出错率较高。目前一些基于词法、语法分析的试题导入研究侧重于纯文本试题的导入。通过对联通内训平台试题库的分析发现包含图片、视频的多媒体试题出现较为频繁。为了解决这一问题,提出一种基于词法分析和XML技术的多媒体试题批量导入方法。该方法首先对试卷进行预处理得到标准的试卷模型,然后通过试题解析得到HTML格式的试卷并根据HTML的标签信息分解出题目与答案,最后将“题目-答案”以XML格式存入数据库中并完成试题导入。该方法成功运用到联通内训平台,高效地解决了多媒体试题导入的问题。相比于现有的试题导入方法,该试题导入方法支持的试题类型更多,导入效率和准确率也有所提高。

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