LinkedLab: A linked data platform for research communities

Fariz Darari, Ruli Manurung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Although most research communities actively disseminate information about their projects, publications, and members, there is no well-established standard for doing so, and thus the value of this data is reduced, e.g. in terms of accessibility, discoverability, and reusability. Linked Data is a method of publishing and linking structured data on the Web using RDF (Resource Description Framework). We propose LinkedLab: a Linked Data based solution for data management regarding research communities. The use of Linked Data affords a more effective way to access, organize, and integrate this data. LinkedLab is organized into three major parts: the LinkedLab ontology, the LinkedLab nodes, and the LinkedLab integrator. The ontology presents a unified view of structured data stored across multiple LinkedLab nodes, enabling data integration by the integrator. The combination of these parts provides all necessary requirements to maximizing the potential benefits of Linked Data in the research environment.

Original languageEnglish
Title of host publicationICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
Pages253-258
Number of pages6
Publication statusPublished - 1 Dec 2011
Event2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011 - Jakarta, Indonesia
Duration: 17 Dec 201118 Dec 2011

Publication series

NameICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings

Conference

Conference2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
Country/TerritoryIndonesia
CityJakarta
Period17/12/1118/12/11

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