Semantic Web-Based Services for Supporting Voluntary Collaboration among Researchers Using an Information Dissemination Platform

نویسندگان

  • Hanmin Jung
  • Mikyoung Lee
  • Won-Kyung Sung
  • Dong-In Park
چکیده

Information dissemination platforms for supporting voluntary collaboration among researchers should assure that controllable and verified information is being disseminated. However, previous related studies on this field narrowed their research scopes into information type and information specification. This paper focuses on the verification and the tracing of information using an information dissemination platform and other Semantic Web-based services. Services on our platform include information dissemination services to support reliable information exchange among researchers and knowledge service to provide unrevealed information. The latter is also divided into the two: knowledgization using ontology and inference using a Semantic Web-based inference engine. This paper discusses how this platform supports instant knowledge addition and inference. We demonstrate our approach by constructing an ontology for national R&D reference information using 37,656 RDF triples from about 2,300 KISTI (Korea Institute of Science and Technology Information) outcomes. Three knowledge services including ‘Communities of Practice’, ‘Researcher Tracing,’ and ‘Research Map’ were implemented on our platform using a Jena framework. Our study shows that information dissemination platforms will make a meaningful contribution to the possibility of realizing a practical Semantic Web-based information dissemination platform.

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عنوان ژورنال:
  • Data Science Journal

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2007