[1]肖清泉,李云清*.MOOC统一检索平台的自动构建与应用[J].江西师范大学学报(自然科学版),2019,(06):655-660.[doi:10.16357/j.cnki.issn1000-5862.2019.06.16]
　XIAO Qingquan,LI Yunqing*.The Automatic Construction and Application of MOOC Unified Search Platform[J].Journal of Jiangxi Normal University:Natural Science Edition,2019,(06):655-660.[doi:10.16357/j.cnki.issn1000-5862.2019.06.16]
点击复制

MOOC统一检索平台的自动构建与应用()
分享到：

《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2019年06期
页码:
655-660
栏目:
信息科学与技术
出版日期:
2019-12-10

文章信息/Info

Title:
The Automatic Construction and Application of MOOC Unified Search Platform
文章编号:
1000-5862(2019)06-0655-06
作者:
肖清泉; 李云清*
江西师范大学计算机信息工程学院,江西 南昌 330022
Author(s):
XIAO Qingquan; LI Yunqing*
School of Computer and Information Engineering,Jiangxi Normal University,Nanchang Jiangxi 330022,China
关键词:
统一检索平台;  自动构建;  本体;  HBase数据库;  大规模在线开放课程
Keywords:
unified search platform;  automatic construction;  ontology;  HBase database;  MOOC
分类号:
TP 311
DOI:
10.16357/j.cnki.issn1000-5862.2019.06.16
文献标志码:
A
摘要:
随着MOOC平台增多以及同一平台下学习资源剧增,如何实现跨平台的高效语义检索成为目前MOOC亟待解决的问题之一.该文通过网络爬虫工具获取多个知名MOOC平台的学习资源数据,进行相关预处理后存储到Mysql数据库,并根据数据库与本体之间的映射关系自动构建MOOC本体,使用Jena将MOOC本体解析成RDF 3元组,并将RDF 3元组存储至HBase数据库,最终构建出一个MOOC统一检索平台,为学习者推荐符合其检索需求的学习资源.实验结果表明:构建的MOOC统一检索平台可有效地提高检索的查准率和查全率.
Abstract:
With the increase of MOOC platforms and the proliferation of learning resources under the same platform,how to achieve efficient cross-platform semantic retrieval has become one of the issues that MOOC need to solve urgently.Learning resource data of multiple well-known MOOC platforms is obtained through web crawlers,relevant data is preprocessed and stored into Mysql database,MOOC ontology is automatically constructed according to the mapping relationship between database and ontology,Jena is used to parse the MOOC ontology into RDF triples and the RDF triples are stored to the HBase database,and finally a MOOC unified search platform is built to recommend learning resources for the learners to meet their search requirements.The experimental results show that the constructed semantic MOOC platform can effectively improve the search accuracy and recall rate.

参考文献/References:

[1] 吴文涛,张舒予.语义慕课:语义网环境下MOOC的发展愿景[J].中国电化教育,2016(9):51-58.
[2] 吴鹏飞,余胜泉.语义网教育应用研究新进展:关联数据视角[J].电化教育研究,2015,36(7):66-72.
[3] Dietze Stefan,et al.Linked education:interlinking educational resources and the Web of data[EB/OL].[2018-09-17].https://dlacm.org/citation.cfm?id=2245347.
[4] 刘小乐,马捷.语义网环境下基于本体的知识集成研究 进展[J].现代情报,2015,35(1):159-163,169.
[5] 位传海,范太华.基于本体的学习资源语义检索系统研究与设计[J].电化教育研究,2012(2):70-74.
[6] 丁国柱,余胜泉.基于本体学习算法的学科本体辅助构建研究:以学习元平台语文学科知识本体的构建为例[J].中国电化教育,2015(3):81-89.
[7] 吴鹏飞,余胜泉.学习资源语义关联关系及其可视化研究[J].中国电化教育,2015(12):97-104.
[8] 王向前,张宝隆,李慧宗.本体研究综述[J].情报杂志,2016,35(6):163-170.
[9] Zhang Chen,Sterck H D.Supporting multi-row distributed transactions with global snapshot isolation using bare-bones HBase[EB/OL].[2018-09-20].https://ieeexplore.org/document/5697970.
[10] 陆婷,房俊,乔彦克.基于HBase的交通流数据实时存储系统[J].计算机应用,2015(1):103-107.
[11] Chebotko A,Abraham J,Brazier P,et al.Storing,Indexing and querying large provenance data sets as RDF graphs in apache HBase[EB/OL].[2018-10-11].http://ieeexlore.org/lpdocs/epico3/wraper.htm?arnumber=6655668.
[12] Sun Jianling,Jin Qiang.Scalable rdf store based on hbase and mapreduce[EB/OL].[2018-10-09].https://dl.acm.org/citation.cfm?id=1786977.
[13] Papailiou N,Konstantinou i,Tsoumakos D,et al.H2RDF:Adaptive query processing on RDF data in the cloud[C].New York:ACM,2012:397-400.
[14] 汪璟玢,方知立,张燕琴.面向分布式的SPARQL查询优化算法[J].计算机科学,2014,41(7):227-231.
[15] 郭朝敏,姜丽红,蔡鸿明.一种关系数据库到本体的自动构建方法[J].计算机工程与应用,2012,48(7):115-120,248.
[16] Khadilkar V,Kantarcioglu M,Castagna P,et al.Jena-HBase:a distributed,scalable and efficient RDF triple store[EB/OL].[2018-10-19].https://dl.acm.org/citation.cfm?id=2887401.
[17] 吴熠潇.中文分词相关算法研究[J].科技经济导刊,2018(2):122-123.

备注/Memo

备注/Memo:
收稿日期:2019-01-19
基金项目:国家自然科学基金(61877031)资助项目.
通信作者:李云清(1964-),男,江西南昌人,教授,主要从事本体及知识工程等研究.E-mail:1377832870@qq.com
更新日期/Last Update: 2019-12-10