Research on In-Depth Ordering Mechanism of Knowledge Organization Based on Linked Data

  • Rong Juntao
Expand
  • Library of Shijiazhuang University, Shijiazhuang 050035

Received date: 2015-05-29

  Revised date: 2015-06-20

  Online published: 2015-07-05

Abstract

[Purpose/significance] From the perspective of linked data in the application of knowledge organization and control, this paper further reveals the in-depth ordering mechanism of knowledge organization based on linked data, and promotes the linked data technology in the application of knowledge organization and discovery. [Method/process] With the systematical analysis method, this paper puts forward a semantic organization framework of "Trinity", and makes an analysis on semantic ordering mechanism of knowledge organization based on linked data. At last, by taking constructing and publishing linked data of institutional repository for example, it illustrates the specific realization path for the semantic ordering mechanism. [Result/conclusion] Semantic retrieval services driven by ontology and linked data reflect the in-depth ordering mechanism of knowledge organization based on linked data. The results show that linked data as an implementation way of lightweight semantic web, provides the semantic technology, method, tool and realization path for in-depth-order of knowledge organization, and the basis for knowledge discovery and inference.

Cite this article

Rong Juntao . Research on In-Depth Ordering Mechanism of Knowledge Organization Based on Linked Data[J]. Library and Information Service, 2015 , 59(13) : 134 -141 . DOI: 10.13266/j.issn.0252-3116.2015.13.019

References

[1] 叶继元.信息组织[M].成都:电子工业大学出版社,2010:40-43.
[2] Berners-Lee T.Linked data.Personal notes on design issues for the World Wide Web[EB/OL].[2015-05-20].http: //www.w3.org /DesignIssues /LinkedData.html.
[3] W3C.Conununity projeets:Linking open data [EB/OL].[2015-05-25].http://esw.w3.org/topie/SweoIG/TaskForce/CommunityProjeets/Linking0PenData.
[4] 黄永文.关联数据在图书馆中的应用研究综述[J].现代图书情报技术,2010(5):1-7.
[5] W3C. Library linked data incubator group[EB/OL].[2015-05-25].http: //www. w3. org/2005/lncubator/lld.
[6] Malmsten M. Expossng library data as linked data[EB/OL].[2015-05-20].http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.181.860&rep=repl&type=pdf.
[7] Miller P.Why the Semantie Web matters [EB/OL].[2015-05-20].http://dc2008.de/wp-content/uploads/2008/09/dcmi20080925-miller.pdf.
[8] Hannemann J,kett J. Linked data for libraries[C]//Information Technology,Cataloguing,classification and Indexing with Knowledge Management. Gothenburg,2010.
[9] WorldCat linked data[OL].[2015-05-25].http://www.oclc.org/data.html.
[10] 刘炜.关联数据:概念、技术及应用展望[J].大学图书馆学报,2011(2):5-12.
[11] 林海青,楼向英,夏翠娟.图书馆关联数据:机会与挑战[J].中国图书馆学报,2012(1):60-69,114.
[12] 沈志宏,张晓琳,黎建辉. OpenCSDB: 关联数据在科学数据库中的应用研究[J].中国图书馆学报,2012(9):17-26.
[13] 欧石燕. 面向关联数据的语义数字图书馆资源描述与组织框架设计与实现 [J]. 中国图书馆学报,2012(6):58-71.
[14] 白海燕, 乔晓东. 基于本体和关联数据的书目组织语义化研究[J]. 现代图书情报技术,2010(9):18-27.
[15] 黄丽丽,牟冬梅,张然.基于关联数据的数字资源语义互联模式研究[J].图书情报工作,2013,57(17):11-15.
[16] 司徒峻峰,曹树金,谢莉. 论基于关联数据的知识链接构建与应用[J].图书情报工作,2013,57(16):123-129.
[17] 游毅.面向图书馆关联数据的语义链接构建研究[J].图书与情报,2014(3):74-78,96.
[18] 贺德方,曾建勋.基于语义的馆藏资源深度聚合研究[J].中国图书馆学报,2012(7):79-86.
[19] Library linked data incubator group:Datasets, value vocabularies,and metadata elemetnt sets[EB/OL].[2015-05-26].http://www.w3.org/2005/incubator/lld/XGR-lld-vocabdataset-20111025.
[20] 清华大学机构知识库[EB/OL].[2015-05-22].http://ir.lib.tsinghua.edu.cn/ir/about.html.
[21] RDF 1.1 concepts and abstract syntax[EB/OL].[2014-11-19].http://www.w3.org/TR/rdf11-concepts/.
[22] D2R server-publishing relational databases on the Semantic Web[EB/OL].[2015-05-15]. http://www4.wiwiss.fu-berlin.de/bizer/d2r-server/.
[23] 邱均平,王菲菲.基于共现与耦合的馆藏文献资源深度聚合研究探析[J].中国图书馆学报,2013(5):25-33.
[24] 藏可莉.基于E-Knowledge机制下的知识服务型数字图书馆的构建[J].图书馆学研究,2008(5):10-12.

Outlines

/