SinoPedia-A Linked Data Services platform for decentralized knowledge base

Tao Chen; Yongjuan Zhang; Zhengjun Wang; Dongsheng Wang; Hui Li; Wei Liu

doi:10.1371/journal.pone.0219992

SinoPedia-A Linked Data Services platform for decentralized knowledge base

PLoS One. 2019 Aug 2;14(8):e0219992. doi: 10.1371/journal.pone.0219992. eCollection 2019.

Authors

Tao Chen^{1

2}, Yongjuan Zhang^{3

4}, Zhengjun Wang⁵, Dongsheng Wang⁶, Hui Li^{1

2}, Wei Liu¹

Affiliations

¹ Shanghai Library/Institute of Scientific & Technical Information of Shanghai, Shanghai, China.
² School of Information Management, Nanjing University, Nanjing, China.
³ Department of Library, Information & Archives Shanghai University, Shanghai, China.
⁴ Shanghai Information Center for Life Sciences, Chinese Academy of Sciences, Shanghai, China.
⁵ Department of Chemistry Physics, Lund University, Lund, Sweden.
⁶ Computer Science, University of Copenhagen, Copenhagen, Denmark.

Abstract

Knowledge bases are largely developed and utilized in academic and industrial fields, such as DBPedia, VIAF, LoC, Getty, and which are published in the Linked Data format. However, if you want to view different resources on these knowledge bases, you have to switch between different web pages from these resources. Therefore, we proposed a decentralized data hub named SinoPedia, which consists of several linked data services and can re-publish these RDF data in one platform. Firstly, these different Linked Data services include: Linked Data Transformation Service (LDTS), Linked Data Query Service (LDQS), Linked Data Publishing Service (LDPS) and Linked Data Knowledge Service (LDKS). The resource URI is the basis and core of the linked data, thus we will focus on the resource forwarding mechanism in LDPS service which can rewrite resource URI using a global and standard format among knowledge bases. Some knowledge bases were configured in SinoPedia platform in this paper. In addition to the above services, Linked Data Reasoning Service (LDRS) and Linked Data Intelligence Service (LDIS) will be added to the platform in the future. In short, all of these Linked Data Services will form the core framework in order to providing a good linked data application ecosystem.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Information Storage and Retrieval / methods*
Knowledge Bases*

Grants and funding

T.C. received the award, which number is 2018M642058, and the full name is China Postdoctoral Science Foundation, the URL is http://jj.chinapostdoctor.org.cn. Also funded by the National Social Science Fund of China (19BTQ024). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.