Plasma and Fusion Research
Volume 2, S1118 (2007)
Regular Articles
- Division of Natural Sciences, International Christian University, Osawa 3-10-2, Mitaka, Tokyo 181-8585 Japan
- 1)
- School of Systems Science, Arkansas Technical University, 1811 N. Boulder Ave., Corley 201-C, AR 72801-2222, USA
- 2)
- National Institute of Information and Communications Technology, 3-5 Hikaridai, Seika-cho Kyoto 619-0289, Japan
- 3)
- Kansai Photon Science Institute, Japan Atomic Energy Agency, 8-1 Umemidai, Kizu-cho, Kyoto 619-0215, Japan
- 4)
- Coordination Research Center, National Institute for Fusion Science, Oroshi-cho, Toki, Gifu 509-5292, Japan
- 5)
- Korea Atomic Energy Research Institute, P.O. Box 105, Yuseong, Daejeon 305-600, Korea
Abstract
Computer simulation of burning plasmas as well as computational plasma modeling in image processing requires a number of accurate data, in addition to a relevant model framework. To this aim, it is very important to recognize, obtain and evaluate data relevant for such a simulation from the literature. This work focuses on the simultaneous search of relevant data across various online databases, extraction of cataloguing and numerical information, and automatic recognition of specific terminology in the text retrieved. The concept is illustrated on the particular terminology of Atomic and Molecular data relevant to edge plasma simulation. The IAEA search engine GENIE and the NIFS search engine Joint Search 2 are compared and discussed. Accurate modeling of the imaged object is considered to be the ultimate challenge in improving the resolution limits of plasma imaging.
Keywords
plasma imaging data, simultaneous database search, automated abstract retrieval, atomic and molecular data, terminology extraction
Full Text
References
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- [4] L. Pichl, M. Suzuki, K. Joe and A. Sasaki, Lecture Notes in Computer Science 3433, 159 (2005).
This paper may be cited as follows:
Lukáš PICHL, Manabu SUZUKI, Masaki MURATA, Akira SASAKI, Daiji KATO, Izumi MURAKAMI and Yongjoo RHEE, Plasma Fusion Res. 2, S1118 (2007).