Semantic profile-based document logistics for cooperative research

Authors:
Hai Zhuge;Yanyan Li
Affiliations:
Knowledge Grid Research Group, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, P.O. Box 2704-28, 100080 Beijing, China;Knowledge Grid Research Group, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, P.O. Box 2704-28, 100080 Beijing, China
Venue:
Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
Year:
2004

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Abstract

This paper proposes a document logistics approach for cooperative research based on the Web and Knowledge Grid. The approach realizes effective research document collection, organization and provision as well as knowledge sharing by incorporating the following functions: construction of semantic profiles representing interests, continuous discovery and collection of potentially relevant documents, synthesis of evaluation feedbacks, and support of flexible management operations and document recommendation services. The prototype has been implemented and is available for use online. Experiments show that the proposed approach is feasible and effective.