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Published Articles >> Table of Contents >> Abstract
IEEE International Conference on e-Business Engineering (ICEBE'06)
pp. 602-609
SemreX: Towards Large-Scale Literature Information Retrieval and Browsing with Semantic Association
Xiaomin Ning, Huazhong University of Science and Technology, Wuhan, 430074, China
Hai Jin, Huazhong University of Science and Technology, Wuhan, 430074, China
Hao Wu, Huazhong University of Science and Technology, Wuhan, 430074, China
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2006.87
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| Abstract |
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Access to scientific literature information is a very
important, as well as time-consuming daily work for
scientific researchers. Current methods of retrieval are
usually limited to keyword-based searching using
information retrieval techniques. In this paper, we
present SemreX which implements efficient large-scale
literature retrieval and browsing with a single access
point based on semantic web technologies. The concept
of Semantic Association is proposed to reveal explicit
or implicit relationships between semantic entities,
combining with the ontology-based information
visualization technique so as to facilitate researchers
retrieving semantically relevant information, as well as
context relationships which can capture user's current
search intentions while preserving an overall picture of
scientific knowledge.
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 Additional Information
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Citation:
Xiaomin Ning, Hai Jin, Hao Wu,
"SemreX: Towards Large-Scale Literature Information Retrieval and Browsing with Semantic Association,"
icebe,
pp. 602-609,
IEEE International Conference on e-Business Engineering (ICEBE'06),
2006
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