基于云存储的网络文档共享研究
发布时间：2018-10-26 21:52
【摘要】：随着互联网技术的发展,越来越多的用户选择使用网络共享方式存放和获取所需文档资料.然而如何在海量数据中挖掘信息并构建实现用户个性化需求服务的解决方案是网络共享平台面临的一个严峻挑战.基于云存储强大的可扩展存储和计算能力,结合全文检索技术,通过对包含用户兴趣的文档信息进行处理,本文设计并实现了一个基于云存储的网络文档共享模型.在基于Hadoop和Lucene搭建的平台上实现了该模型的主要服务模块.该模型基于网络传输交互,具有存储空间可扩展、访问速度快等优点,对实现网络资源共享及个性化推荐具有很好的借鉴价值.
[Abstract]:With the development of Internet technology, more and more users choose to use network sharing to store and obtain the required documents. However, how to mine the information in the massive data and construct the solution to realize the user's personalized demand service is a severe challenge to the network sharing platform. Based on the powerful scalable storage and computing ability of cloud storage and the full-text retrieval technology, this paper designs and implements a network document sharing model based on cloud storage through the processing of document information including user's interest. The main service modules of the model are implemented on the platform based on Hadoop and Lucene. The model is based on network transmission interaction and has the advantages of expandable storage space and fast access speed. It has good reference value for realizing network resource sharing and personalized recommendation.
【作者单位】： 中南大学信息科学与工程学院;湖南工业大学计算机与通信学院;湖南大学信息科学与工程学院;
【基金】：国家自然科学基金项目(61272151,61073037,61379058,61350011)资助 国际科技合作计划基金项目(2013DFB10070)资助 教育部博士点基金项目(20110162110043)资助 湖南省自然科学基金重点课题(12JJ2036)资助 湖南省科技计划项目(2012GK4106)资助
【分类号】：TP333
本文编号：2297044
[Abstract]:With the development of Internet technology, more and more users choose to use network sharing to store and obtain the required documents. However, how to mine the information in the massive data and construct the solution to realize the user's personalized demand service is a severe challenge to the network sharing platform. Based on the powerful scalable storage and computing ability of cloud storage and the full-text retrieval technology, this paper designs and implements a network document sharing model based on cloud storage through the processing of document information including user's interest. The main service modules of the model are implemented on the platform based on Hadoop and Lucene. The model is based on network transmission interaction and has the advantages of expandable storage space and fast access speed. It has good reference value for realizing network resource sharing and personalized recommendation.
【作者单位】： 中南大学信息科学与工程学院;湖南工业大学计算机与通信学院;湖南大学信息科学与工程学院;
【基金】：国家自然科学基金项目(61272151,61073037,61379058,61350011)资助 国际科技合作计划基金项目(2013DFB10070)资助 教育部博士点基金项目(20110162110043)资助 湖南省自然科学基金重点课题(12JJ2036)资助 湖南省科技计划项目(2012GK4106)资助
【分类号】：TP333
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，本文编号：2297044
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