DocumentCode
560940
Title
LinkedLab: A Linked Data platform for Research Communities
Author
Darari, Fariz ; Manurung, Ruli
Author_Institution
Inf. Retrieval Lab., Univ. Indonesia, Depok, Indonesia
fYear
2011
fDate
17-18 Dec. 2011
Firstpage
253
Lastpage
258
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.
Keywords
Internet; data structures; information dissemination; ontologies (artificial intelligence); publishing; LinkedLab integrator; LinkedLab nodes; LinkedLab ontology; RDF; World Wide Web; data integration; data management; information dissemination; linked data platform; research communities; resource description framework; structured data linking; structured data publishing; Communities; OWL; Ontologies; Publishing; Resource description framework; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on
Conference_Location
Jakarta
Print_ISBN
978-1-4577-1688-1
Type
conf
Filename
6140772
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