SinoPedia—A Linked Data Services platform for decentralized knowledge base

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

SinoPedia—A Linked Data Services platform for decentralized knowledge base. / Chen, Tao; Zhang, Yongjuan; Wang, Zhengjun; Wang, Dongsheng; Li, Hui; Liu, Wei.

In: PLoS ONE, Vol. 14, No. 8, e0219992, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Chen, T, Zhang, Y, Wang, Z, Wang, D, Li, H & Liu, W 2019, 'SinoPedia—A Linked Data Services platform for decentralized knowledge base', PLoS ONE, vol. 14, no. 8, e0219992. https://doi.org/10.1371/journal.pone.0219992

APA

Chen, T., Zhang, Y., Wang, Z., Wang, D., Li, H., & Liu, W. (2019). SinoPedia—A Linked Data Services platform for decentralized knowledge base. PLoS ONE, 14(8), [e0219992]. https://doi.org/10.1371/journal.pone.0219992

Vancouver

Chen T, Zhang Y, Wang Z, Wang D, Li H, Liu W. SinoPedia—A Linked Data Services platform for decentralized knowledge base. PLoS ONE. 2019;14(8). e0219992. https://doi.org/10.1371/journal.pone.0219992

Author

Chen, Tao ; Zhang, Yongjuan ; Wang, Zhengjun ; Wang, Dongsheng ; Li, Hui ; Liu, Wei. / SinoPedia—A Linked Data Services platform for decentralized knowledge base. In: PLoS ONE. 2019 ; Vol. 14, No. 8.

Bibtex

@article{89d9056fac9340c3b2bada35700a373f,
title = "SinoPedia—A Linked Data Services platform for decentralized knowledge base",
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.",
author = "Tao Chen and Yongjuan Zhang and Zhengjun Wang and Dongsheng Wang and Hui Li and Wei Liu",
year = "2019",
doi = "10.1371/journal.pone.0219992",
language = "English",
volume = "14",
journal = "P L o S One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "8",

}

RIS

TY - JOUR

T1 - SinoPedia—A Linked Data Services platform for decentralized knowledge base

AU - Chen, Tao

AU - Zhang, Yongjuan

AU - Wang, Zhengjun

AU - Wang, Dongsheng

AU - Li, Hui

AU - Liu, Wei

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85070237658&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0219992

DO - 10.1371/journal.pone.0219992

M3 - Journal article

C2 - 31374080

AN - SCOPUS:85070237658

VL - 14

JO - P L o S One

JF - P L o S One

SN - 1932-6203

IS - 8

M1 - e0219992

ER -

ID: 227469547