Smart searching system for virtual science brain

Authors:
Hong-Woo Chun;Chang-Hoo Jeong;Sa-Kwang Song;Yun-Soo Choi;Do-Heon Jeong;Sung-Pil Choi;Won-Kyung Sung
Affiliations:
Korea Institute of Science and Technology Information, Daejeon, South Korea;Korea Institute of Science and Technology Information, Daejeon, South Korea;Korea Institute of Science and Technology Information, Daejeon, South Korea;Korea Institute of Science and Technology Information, Daejeon, South Korea;Korea Institute of Science and Technology Information, Daejeon, South Korea;Korea Institute of Science and Technology Information, Daejeon, South Korea;Korea Institute of Science and Technology Information, Daejeon, South Korea
Venue:
AMT'11 Proceedings of the 7th international conference on Active media technology
Year:
2011

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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.