Please wait a minute...
Advanced Search
现代图书情报技术  2013, Vol. 29 Issue (2): 18-23     https://doi.org/10.11925/infotech.1003-3513.2013.02.03
  数字图书馆 本期目录 | 过刊浏览 | 高级检索 |
关联数据环境下数据溯源描述语言的比较研究
倪静1,2, 孟宪学1
1. 中国农业科学院农业信息研究所 北京 100081;
2. 北京石油化工学院信息管理系 北京 102617
The Comparative Analysis of Major Provenance Vocabularies in Linked Data Environment
Ni Jing1,2, Meng Xianxue1
1. Agricultural Institute of Information, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
2. Department of Information Management and Information System, Beijing Institute of Petrochemical Technology, Beijing 102617, China
全文: PDF (520 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 介绍目前国外主要的数据溯源描述语言:DCMI术语、OPM-O、PV、VoIDP、PROV-O,从来源和目的、资源描述角度、主要服务对象和解决的问题、标注方式、词表结构等方面分别对以上数据溯源描述语言进行比较分析,以期为国内外学者在关联数据环境下进行溯源描述语言的选择和消费提供帮助。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
倪静
孟宪学
关键词 数据溯源DCMI术语OPM-OPVVoIDPPROV-O    
Abstract:This paper discusses the provenance vocabularies: DCMI Term,OPM-O,PV,VoIDP and PROV-O,then separately compares and analyzes the similarities and differences between them from five dimensions: aim, description, service providing,annatation method and vocabulary structure.The authors aim to enable the provenance research community to move towards the adoption and consumption of provenance vocabularies in linked data environment.
Key wordsData provenance    DCMI term    OPM-O    PV    VoIDP    PROV-O
收稿日期: 2012-09-12      出版日期: 2013-04-24
:  TP274  
基金资助:本文系教育部人文社会科学研究规划基金项目“关联数据环境下安全机制与数据溯源的研究”(项目编号:12YJA870014)和国家农业科学数据共享中心项目的研究成果之一。
通讯作者: 孟宪学,meng@mail.caas.net.cn     E-mail: meng@mail.caas.net.cn
引用本文:   
倪静, 孟宪学. 关联数据环境下数据溯源描述语言的比较研究[J]. 现代图书情报技术, 2013, 29(2): 18-23.
Ni Jing, Meng Xianxue. The Comparative Analysis of Major Provenance Vocabularies in Linked Data Environment. New Technology of Library and Information Service, 2013, 29(2): 18-23.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2013.02.03      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2013/V29/I2/18
[1] Berners-Lee T. Cleaning up the User Interface[EB/OL].[2012-06-30]. http://www.w3.org/DesignIssues/UI.html.
[2] What is Provenance[EB/OL].[2012-06-30].http://www.w3.org/2005/Incubator/prov/wiki/What_Is_Provenance.
[3] International Provenance and Annotation Workshop Series[EB/OL].[2012-06-30]. http://www.ipaw.info/.
[4] 3rd USENIX Workshop on the Theory and Practice of Provenance (TaPP'11)[EB/OL]. [2012-06-30]. http://www.usenix.org/event/tapp11/.
[5] eSI Workshop Developing a Set of Provenance Principles for Linked Open Data[EB/OL]. [2012-06-30].http://www.nesc.ac.uk/esi/events/1216/.
[6] SWPM-2010-Knoesis Wiki[EB/OL].[2012-06-30].http://wiki.knoesis.org/index.php/ SWPM-2010.
[7] W3C Provenance Incubator Group Wiki[EB/OL].[2012-06-30].http://www.w3.org/2005/Incubator/ prov/wiki/W3C Provenance_Incubator_Group_Wiki.
[8] 沈志宏,张晓林.语义网环境下数据溯源表达模型研究综述[J]. 现代图书情报技术,2011(4):1-8. (Shen Zhihong, Zhang Xiaolin. Data Provenance Model in Semantic Web Environment:An Overview[J]. New Technology of Library and Information Service, 2011(4):1-8.)
[9] DCMI Metadata Terms[EB/OL].[2012-06-30].http://dublincore.org/documents/ dcmi-terms/#H6.
[10] Open Provenance Model (OPM) OWL Specification[EB/OL].[2012-06-30].http://open provenance.org/model/opmo.
[11] Hartig O, Zhao J. Publishing and Consuming Provenance Metadata on the Web of Linked Data[C]. In:Proceedings of the 3rd International Provenance and Annotation Workshop (IPAW), Troy, New York, USA. 2010.
[12] Vocabulary of Interlinked Datasets (VoID)[EB/OL].[2012-06-30]. http://vocab.deri.ie/void#Dataset.
[13] Omitola T,Gutteridge C.VoIDP:A Vocabulary for Data and Dataset Provenance[EB/OL].[2012-06-30]. http://www.enakting.org/provenance/voidp/.
[14] PROV-O:The PROV Ontology[EB/OL].[2012-06-30].http://www.w3.org/TR/prov-o/.
[15] Dublin Core to PROV Mapping[EB/OL].[2013-01-30].http://www.w3.org/TR/2012/WD-prov-dc-20121211/#bib-PROV-OVERVIEW.
[16] Moreau L, Clifford B, Freire J,et al.The Open Provenance Model Core Specification (v1.1)[J]. Future Generation Computer Systems,2011, 27(6):743-756.
[17] PROV-AQ: Provenance Access and Query[EB/OL].[2012-06-30]. http://www.w3.org/TR/2012/WD-prov-aq-201206
19/.[ZK)]
[18] PROV-DM: The PROV Data Model[EB/OL].[2012-12-30].http://www.w3.org/TR/2012/CR-prov-dm-20121211/.[ZK)]
[19] OWL 2 Web Ontology Language Document Overview[EB/OL].[2012-06-30]. http://www.w3.org/TR/2009/REC-owl2-overview-20091027/.
[20] D2RQ:Accessing Relational Databases as Virtual RDF Graphs[EB/OL].[2012-12-01]. http://d2rq.org/.
[1] 潘竹虹,萧德洪. 一种支持双栈及高速网络的数字资源利用分析系统数据过滤方法[J]. 现代图书情报技术, 2016, 32(3): 90-96.
[2] 沈志宏, 张晓林. 语义网环境下数据溯源表达模型研究综述[J]. 现代图书情报技术, 2011, 27(4): 1-8.
[3] 邹荣 陈武 姜爱蓉 张成昱 远红亮. 清华大学图书馆网络升级方案设计与实现[J]. 现代图书情报技术, 2010, 26(5): 79-83.
[4] 王莉. 基于IPv6网络技术的文献信息服务平台的实现及关键技术*[J]. 现代图书情报技术, 2005, 21(8): 32-36.
[5] 肖琬蓉. IPv4与IPv6分析比较及对域名系统需求研究[J]. 现代图书情报技术, 2004, 20(12): 40-44.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 《数据分析与知识发现》编辑部
地址:北京市海淀区中关村北四环西路33号 邮编:100190
电话/传真:(010)82626611-6626,82624938
E-mail:jishu@mail.las.ac.cn