Library and Information Service >
Research and Implementation of Visualization Technology for Linked Data
Received date: 2015-07-25
Revised date: 2015-08-14
Online published: 2015-09-05
[Purpose/significance] At present, the research direction has changed from "how to produce it" to "how to consume it" in linked data field. And the data visualization has become a hot topic in this area, through which, people not only can gain infinite information in a limited space, such as using a simple picture, but also understand the inner relationships among different data more intuitively and discover others. [Method/process] In this article, some visualization technologies and tools are introduced which can be utilized in instance data generated in daily useand ontology structure. Thepaper also shows some cases of work done in application development and research process. [Result/conclusion] In conclusion, the method and process of visualization mentioned in this article is a good guidance and reference in linked data visualization, which can be applied to other linked data application systems.
Key words： linked data; SPARQL; RDF; data visualization; R
Chen Tao , Xia Cuijuan , Liu Wei , Zhang Lei . Research and Implementation of Visualization Technology for Linked Data[J]. Library and Information Service, 2015 , 59(17) : 113 -119 . DOI: 10.13266/j.issn.0252-3116.2015.17.017
[1] 舍恩伯格.大数据时代[M].周涛,译.杭州:浙江人民出版社, 2012, 74-80.
[2] 陈涛, 张永娟, 陈恒. Web数据到RDF数据的框架实现[J].现代图书情报技术, 2015(2):1-6.
[3] State of the LOD Cloud 2014 [EB/OL]. [2015-08-10].http://linkeddatacatalog.dws.informatik.uni-mannheim.de/state/.
[4] 丁楠, 王钰, 潘有能. 基于关联数据的政府信息聚合研究[J]. 情报理论与实践, 2015,38(7):76-79,85.
[5] 张永娟, 孙晓丽, 管兴华,等. 基于关联数据的专家系统库的构建[J].图书馆杂志, 2015,34(5):80-84.
[6] 仝召娟, 许鑫, 钱佳轶. 基于关联数据的非遗数字资源聚合研究[J]. 图书情报工作, 2014,58(21):21-26.
[7] 洪娜, 钱庆, 范炜,等. 关联数据中关系发现的可视化实践[J]. 现代图书情报技术, 2013(2):11-17.
[8] Klímek J, Helmich J, Necask M. Payola: Collaborative linked data analysis and visualization framework[C]//The Semantic Web: ESWC 2013 Satellite Events. Montpellier: Springer Verlag, 2013:147-151.
[9] Klímek J, Helmich J, Necask M. Application of the linked data visualization model on real World data from the Czech LOD Cloud[C/OL].Linked Data on the Web (LDOW2014).[2015-08-10].http://events.linkeddata.org/ldow2014/slides/ldow2014_slides_13.pdf.
[10] 王林彬, 黎建辉, 沈志宏. 基于NoSQL的RDF数据存储与查询技术综述[J]. 计算机应用研究, 2015,32(5):1281-1286.
[11] 沈志宏, 黎建辉, 张晓林. 关联数据互联技术研究综述:应用、方法与框架[J]. 图书情报工作, 2013,57(14):125-133.
[12] How to publish linked data on the Web[EB/OL]. [2015-08-10].http://wifo5-03.informatik.uni-mannheim.de/bizer/pub/LinkedDataTutorial/.
[13] 夏翠娟, 刘炜, 张磊,等. 基于书目框架(BIBFRAME)的家谱本体设计[J]. 图书馆论坛, 2014(11):5-19.
[14] R语言的优劣势是什么？[EB/OL]. [2015-08-10].http://www.itongji.cn/article/042144392015.html.
[15] SPARQL for R tutorial-linked open piracy [EB/OL]. [2015-08-10].http://semanticweb.cs.vu.nl/R/sparql_lop/sparql_lop.html.
[16] SPARQL with R in less than 5 minutes [EB/OL]. [2015-08-10].http://www.r-bloggers.com/sparql-with-r-in-less-than-5-minutes/.
[17] Virtuoso Geo spatial enhancements [EB/OL]. [2015-08-10].http://virtuoso.openlinksw.com/dataspace/doc/dav/wiki/Main/VirtGeoSPARQLEnhancementDocs
/
| 〈 |
|
〉 |
