基于数据挖掘技术的本体半自动构建

2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2017-07-01 DOI:10.1109/IIAI-AAI.2017.202

Jingyun Wang, B. Flanagan, H. Ogata

{"title":"基于数据挖掘技术的本体半自动构建","authors":"Jingyun Wang, B. Flanagan, H. Ogata","doi":"10.1109/IIAI-AAI.2017.202","DOIUrl":null,"url":null,"abstract":"In this paper, we present a method to extract the possible relationships between knowledge points by analyzing e-book log and mining quiz data and mining Wikipedia articles. This method will be implemented in an ontology-based visualization support system to support the instructor to construct course-centered ontologies semi-automatically.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Semi-automatic Construction of Ontology Based on Data Mining Technique\",\"authors\":\"Jingyun Wang, B. Flanagan, H. Ogata\",\"doi\":\"10.1109/IIAI-AAI.2017.202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a method to extract the possible relationships between knowledge points by analyzing e-book log and mining quiz data and mining Wikipedia articles. This method will be implemented in an ontology-based visualization support system to support the instructor to construct course-centered ontologies semi-automatically.\",\"PeriodicalId\":281712,\"journal\":{\"name\":\"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2017.202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2017.202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

摘要

在本文中，我们提出了一种通过分析电子书日志和挖掘测验数据以及挖掘维基百科文章来提取知识点之间可能的关系的方法。该方法将在基于本体的可视化支持系统中实现，以支持教师半自动地构建以课程为中心的本体。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Semi-automatic Construction of Ontology Based on Data Mining Technique

In this paper, we present a method to extract the possible relationships between knowledge points by analyzing e-book log and mining quiz data and mining Wikipedia articles. This method will be implemented in an ontology-based visualization support system to support the instructor to construct course-centered ontologies semi-automatically.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)

自引率

0.00%

发文量