Smart Searching System for Virtual Science Brain

  • Hong-Woo Chun
  • Chang-Hoo Jeong
  • Sa-Kwang Song
  • Yun-Soo Choi
  • Do-Heon Jeong
  • Sung-Pil Choi
  • Won-Kyung Sung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6890)

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.

Keywords

Information Extraction Entity Recognition Natural Language Processing Technique Dynamic Table Event Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hong-Woo Chun
    • 1
  • Chang-Hoo Jeong
    • 1
  • Sa-Kwang Song
    • 1
  • Yun-Soo Choi
    • 1
  • Do-Heon Jeong
    • 1
  • Sung-Pil Choi
    • 1
  • Won-Kyung Sung
    • 1
  1. 1.Korea Institute of Science and Technology InformationDaejeonSouth Korea

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