Retrieving digital artifacts from digital libraries semantically

Authors:
Jun Ma;YingNan Yi;Tian Tian;Yuejun Li
Affiliations:
School of Computer Science and Technology, Shandong Univ., Jinan, China;School of Computer Science and Technology, Shandong Univ., Jinan, China;School of Computer Science and Technology, Shandong Univ., Jinan, China;School of Computer Science and Technology, Shandong Univ., Jinan, China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Year:
2005

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Abstract

The techniques for organizing and retrieving the artifacts from digital libraries (DLs) semantically are discussed, which include letting the taxonomies and semantic relations work in tandem to index the artifacts in DLs; integrating the techniques used in natural language processing and taxonomies to help users to start their retrieval processes; and ranking scientific papers on similarity in terms of contents or ranking the relevant papers on multi-factors. These techniques are verified through the design and implementation of a prototype of DLs for scientific paper management.