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Semantic Web and Web Science pp 161–167Cite as

SemreX: A Semantic Association-Based Scientific Literature Sharing System

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Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

Access to scientific literature information is a very important, as well as time-consuming, daily work for scientific researchers. However, more and more literatures are available. It imposes a challenge to literature database. Current literature systems mainly paid attention to a few explicit relationships among literature entities. In this paper, we present SemreX—a semantic association-based literature sharing system based on semantic web technologies. The concept of semantic association is proposed to reveal explicit or implicit relationships between semantic entities so as to facilitate researchers retrieving semantically relevant information. For the purpose of expression of semantic association, we propose a semantic association data model. Since it is very important for identification of semantic association to identify entities correctly, we develop some methods to identify entity names correctly. To discover some implicit semantic association, we propose two kinds of classification methods: SVM-k-NN used to classify those literatures based on category trees and Wikipedia-based classification using Wikipedia as knowledge base to classify literatures.

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Acknowledgements

The research is supported by National Science Foundation of China grant No.61073096 and 863 program under grant No.2012AA011003.

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Authors and Affiliations

  1. Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Pingpeng Yuan, Hai Jin, Yi Li, Binlin Chang, Xiaomin Ning & Li Huang

Authors
  1. Pingpeng Yuan
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  2. Hai Jin
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  3. Yi Li
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  4. Binlin Chang
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  5. Xiaomin Ning
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  6. Li Huang
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Corresponding author

Correspondence to Hai Jin .

Editor information

Editors and Affiliations

  1. , Dept. of Computer Science and Technology, Tsinghua University, Room 10-206, East main building, Beijing, 100084, China, People's Republic

    Juanzi Li

  2. , School of Comp. Sci. & Eng., Southeast University, Dongda Road 2, Nanjing, 211189, Jiangsu, China, People's Republic

    Guilin Qi

  3. Peking University, Inst. of Computer Science & Tech., North Zhongguancun Street 128, Beijing, 100871, China, People's Republic

    Dongyan Zhao

  4. L3S Research Center, Leibniz University Hannover, Appelstr. 4, Hannover, 30167, Germany

    Wolfgang Nejdl

  5. Tsinghua Campus H202B, Shenzhen City, 518055, China, People's Republic

    Hai-Tao Zheng

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Cite this paper

Yuan, P., Jin, H., Li, Y., Chang, B., Ning, X., Huang, L. (2013). SemreX: A Semantic Association-Based Scientific Literature Sharing System. In: Li, J., Qi, G., Zhao, D., Nejdl, W., Zheng, HT. (eds) Semantic Web and Web Science. Springer Proceedings in Complexity. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6880-6_14

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  • DOI: https://doi.org/10.1007/978-1-4614-6880-6_14

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6879-0

  • Online ISBN: 978-1-4614-6880-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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