高校智慧图书馆数据服务空间再造研究
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摘要
随着共享AI被列入2018年MIT发布的全球10大突破性技术之一,高校智慧图书馆建设的方向亦更加明确,其数据服务空间的再造研究和实践也将进一步成为业界焦点。通过对国内外高校智慧图书馆数据服务空间再造现状的分析,进一步明确了研究高校智慧图书馆数据服务空间再造的重要性。在研究高校智慧图书馆数据服务空间再造过程中,要紧密围绕数据服务的空间布局进行展开,不断加强数据服务空间的再造,创造条件促进新技术在数据服务过程中的无缝接入、构建数据资源命运共同体和高度重视师生对数据服务空间的新诉求,使高校图书馆的智慧数据服务空间更加优化,效果更加显著,最终为师生跨越空间局限、畅享信息资源提供更加优质高效的数据服务。
As shared AI is listed as one of the 10 global breakthroughs released by MIT in 2018, the direction of the construction of university intelligent libraries is more clear, and the research and practice of data service space reconstruction will become the focus of the industry. Through the analysis of the status quo of data service space reconstruction of university intelligent libraries at home and abroad, this paper further clarifies the importance of researching the data service space reconstruction of university intelligent libraries. In the process of researching, we should closely focus on the spatial layout of data service, constantly strengthen the reconstructing of data service space,create conditions to promote the seamless access of new technologies in the process of data service, construct the fate community of data resources, and attach great importance to the needs of teachers and students, so as to make the intelligent data service space of university library more optimized and the operation effect is better.In the end, university libraries will provide high quality and efficient service for students and teachers to cross space limitations and enjoy the data service.
As shared AI is listed as one of the 10 global breakthroughs released by MIT in 2018, the direction of the construction of university intelligent libraries is more clear, and the research and practice of data service space reconstruction will become the focus of the industry. Through the analysis of the status quo of data service space reconstruction of university intelligent libraries at home and abroad, this paper further clarifies the importance of researching the data service space reconstruction of university intelligent libraries. In the process of researching, we should closely focus on the spatial layout of data service, constantly strengthen the reconstructing of data service space,create conditions to promote the seamless access of new technologies in the process of data service, construct the fate community of data resources, and attach great importance to the needs of teachers and students, so as to make the intelligent data service space of university library more optimized and the operation effect is better.In the end, university libraries will provide high quality and efficient service for students and teachers to cross space limitations and enjoy the data service.
引文
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[2]REPANOVICI A, TURCANU M, CRISTEA L. Smart library:RFID implementation in libraries[C]. 8th WSEAS,2009:523-526.
[3]PAN YUNHE. Data ocean and smart library[J]. Zhejiang univ-Sci C(Comput&Electron),2010(11):835-836.
[4]王世伟.未来图书馆的新模式:智慧图书馆[J].图书馆建设,2011(12):1-5.
[5]邓景康.大数据环境下清华大学图书馆的实践[N].中国新闻出版报,2013-08-29(005).
[6]张晓林.颠覆数字图书馆的大趋势[J].中国图书馆学报,2011(5):4-12.
[7]初景利.数字化网络化与图书馆服务的战略转型[J].图书与情报,2017(1):98-104.
[8]吴建中.从量的发展到质的提升:研究图书馆的新课题[J].图书馆杂志,2017(10):96-99.
[9]张晓桦.创客时代图书馆空间再造与服务融合路径研究[J].图书馆建设,2015(11):47-51.
[10]李志芳.国外i School联盟高校图书馆科研数据管理调查[J].图书馆论坛,2017(10):121-130.
[11]康存辉.高校图书馆学习共享空间文化氛围营造[J].图书情报工作,2011(5):87-89.
[12]大前研一.差异化经营[M].北京:中信出版社,2006:23.
[13]康存辉,操菊华.出版融合对图书馆发展的影响研究[J].现代情报,2017(2):35-37.