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A system of Internet learning information and a study about development guideline

网络学习信息系统及开发指南研究

基本信息

批准号：
10400015
负责人：
SHIMIZU Yasutaka
金额：
$ 2.3万
依托单位：
Tokyo Institution of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

项目摘要

In this study, a basis of technique to categorize was established by contents of Web site sponsored with Internet by a school year and a subject, relation with a subject unit.By this technique, we resolve a description every each unit of a textbook into a term by morpheme analysis and demand an element and a line to do by appearance frequency in each unit of each term, and it is technique extracted by a characteristic vector of a term/a unit with it by the value resolution peculiar.A unit to fall under was estimated by it being compared resemblance degree with a characteristic vector of each unit demanded by a textbook with a demanded vector by arbitrary information to judge Web site contents to be it.And it was made what we could divide into a category to a unit in a subject clear if a term extracted from one part of a textbook of existing social studies was used.We understood that it was achieved high original distinction rate as a result that a post teacher evaluated the result.And it is the plan that other, school year distinction, a subject input contents of all the textbooks of the every company which is to be published during this year into according to a unit, it is to be extracted a characteristic vector by this technique about a unit of each in order to let this result develop in this study.And we evaluate technique to divide into a category by it, and it is a plan to examine of practical use.

本研究以网际网路所提供的网站内容，依学年、学科、与学科单位的关系，建立分类的技术基础，借由语素分析，将教科书每一单元的描述分解为一个名词，并依每个名词的每一单元中出现频率，要求一个元素与一行字，并且它是通过项/的特征向量来技术提取的。通过将其与任意信息所要求的矢量的教科书所要求的每个单元的特征矢量的相似度进行比较来判断网站内容如果使用从现有的社会研究教科书的一部分中提取的术语，我们可以清楚地将我们划分为一个学科中的一个单元的类别。我们了解到，作为一个职位教师评估结果的结果，它获得了高的原始区分率。并且它是计划，其他，学年区分，一个课题将本年度内出版的各公司的全部教科书的内容按一个单元输入，为了使这一结果在本研究中得到发展，我们将通过这种技术对每一个单元提取一个特征向量，并对这一结果进行评价。技术按其划分类别，并为实际使用的检验方案。