数字图书馆多粒度集成知识服务研究
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摘要
为将数字图书馆知识服务的单位由文献单元深入到知识单元,并依据知识之间的逻辑关系建立知识单元之间的链接,进而提供多粒度的集成知识服务,本文在多粒度集成知识服务相关理论的指导下,提出了基于关联数据的数字图书馆多粒度集成知识服务方式,主要包括多粒度关联数据创建、多粒度关联数据索引、多粒度关联数据检索等步骤,以实现数字图书馆一站式的"检索即所得"的多粒度集成知识服务,从而提高数字图书馆的易用性,降低用户的认知负担和使用成本。
This paper is a study of the multi-granularity integrated knowledge service mode of digital libraries based on linked data. Its aim is to deepen the knowledge service units of digital libraries, turning them from document units into knowledge units; establish links between the knowledge units, according to the logical relationship between them; and then provide a multi-granularity integrated knowledge service based on related theories services. It includes the steps of multigranularity association data creation, indexing, and retrieval, so as to realize a one-stop multi-granularity integrated knowledge service of"what you retrieve is what you want"in digital libraries, and thus improve the usability of digital libraries and reduce users cognitive burden and use cost.
This paper is a study of the multi-granularity integrated knowledge service mode of digital libraries based on linked data. Its aim is to deepen the knowledge service units of digital libraries, turning them from document units into knowledge units; establish links between the knowledge units, according to the logical relationship between them; and then provide a multi-granularity integrated knowledge service based on related theories services. It includes the steps of multigranularity association data creation, indexing, and retrieval, so as to realize a one-stop multi-granularity integrated knowledge service of"what you retrieve is what you want"in digital libraries, and thus improve the usability of digital libraries and reduce users cognitive burden and use cost.
引文
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[15]尹洪波.现代汉语疑问句焦点研究[J].江汉学术,2008,27(1):92-96.
[16]许德山,张智雄,赵妍.中文问句与RDF三元组映射方法研究[J].图书情报工作,2011,55(6):45-48.
[17]Garfield E.Citation indexes for science:A new dimension in doc‐umentation through association of ideas[J].Science,1955,122(3159):108-111.
[18]Hirsch J E.An index to quantify an individual.s scientific re‐search output[J].Proceedings of the National Academy of Scienc‐es of the United States of America,2005,102(46):16569-16572.
[2]徐如镜.开发知识资源,发展知识产业,服务知识经济[J].现代图书情报技术,2002(s1):6-8.
[3]马费成.在数字环境下实现知识的组织和提供[J].郑州大学学报(哲学社会科学版),2005,38(4):5-7.
[4]王子舟,王碧滢.知识的基本组分--文献单元和知识单元[J].中国图书馆学报,2003,29(1):5-11.
[5]Berners-Lee T.Linked data[OL].[2016-05-16].http://www.w3.org/Designlssues/Linked Data.htl.
[6]游毅,成全.试论基于关联数据的馆藏资源聚合模式[J].情报理论与实践,2013(1):109-114.
[7]夏翠娟,刘炜,赵亮,等.关联数据发布技术及其实现--以Drupal为例[J].中国图书馆学报,2012,38(1):49-57.
[8]温有奎.知识元挖掘[M].西安:西安电子科技大学出版社,2004:2.
[9]原小玲.基于知识元的知识标引[J].图书馆学研究,2007(6):45-47.
[10]姜永常,杨宏岩,张丽波.基于知识元的知识组织及其系统服务功能研究[J].情报理论与实践,2007,30(1):37-40.
[11]Crestani F.Application of spreading activation techniques in in‐formation retrieval[J].Artificial Intelligence Review,1997,11(6):453-482.
[12]Blei D M,Ng A Y,Jordan M I.Latent dirichlet allocation[J].Jour‐nal of Machine Learning Research,2003(3):993-1022.
[13]Krestel R,Fankhauser P,Nejdl W.Latent dirichlet allocation for tag recommendation[C]//Proceedings of the Third ACM Conference on Recommender Systems.New York:ACM Press,2009:61-68.
[14]石晶,李万龙.基于LDA模型的主题词抽取方法[J].计算机工程,2010(19):81-83.
[15]尹洪波.现代汉语疑问句焦点研究[J].江汉学术,2008,27(1):92-96.
[16]许德山,张智雄,赵妍.中文问句与RDF三元组映射方法研究[J].图书情报工作,2011,55(6):45-48.
[17]Garfield E.Citation indexes for science:A new dimension in doc‐umentation through association of ideas[J].Science,1955,122(3159):108-111.
[18]Hirsch J E.An index to quantify an individual.s scientific re‐search output[J].Proceedings of the National Academy of Scienc‐es of the United States of America,2005,102(46):16569-16572.