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Smart Searching System for Virtual Science Brain

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Active Media Technology (AMT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6890))

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Abstract

To decide research topics or analyze technical trends, researchers should collect and analyze information from hundreds of thousands of articles, patents, and technical reports. To facilitate the process, information extraction techniques from literature are very helpful. In addition, effective searching methods of the extracted information are necessary as well. While information extraction research has been a popular issue, research about searching and browsing methods for the extracted information has not been an attractive issue relatively. This paper presents a smart searching system that provides various analysis tools, and we expect that researchers can discover and develop new research outcomes through the proposed searching system.

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Author information

Authors and Affiliations

  1. Korea Institute of Science and Technology Information, 245 Daehangno, Yuseong-gu, Daejeon, 305-806, South Korea

    Hong-Woo Chun, Chang-Hoo Jeong, Sa-Kwang Song, Yun-Soo Choi, Do-Heon Jeong, Sung-Pil Choi & Won-Kyung Sung

Authors
  1. Hong-Woo Chun
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  2. Chang-Hoo Jeong
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  3. Sa-Kwang Song
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  4. Yun-Soo Choi
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  5. Do-Heon Jeong
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  6. Sung-Pil Choi
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  7. Won-Kyung Sung
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Editor information

Editors and Affiliations

  1. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371.0816, Japan

    Ning Zhong

  2. Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, Essex, UK

    Vic Callaghan

  3. Faculty of Computer Science, University of New Brunswick, E3B 5A3, Fredericton, N.B., Canada

    Ali A. Ghorbani

  4. School of Information Science and Engineering, Lanzhou University, Feiyun Lou Building, Tianshui South Road 222, 730000, Lanzhou, Gansu, China

    Bin Hu

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chun, HW. et al. (2011). Smart Searching System for Virtual Science Brain. In: Zhong, N., Callaghan, V., Ghorbani, A.A., Hu, B. (eds) Active Media Technology. AMT 2011. Lecture Notes in Computer Science, vol 6890. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23620-4_34

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  • DOI: https://doi.org/10.1007/978-3-642-23620-4_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23619-8

  • Online ISBN: 978-3-642-23620-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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