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International Conference on Computational Science and Its Applications

ICCSA 2006: Computational Science and Its Applications - ICCSA 2006 pp 224–230Cite as

Automated Keyword Extraction Using Category Correlation of Data

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3981))

Abstract

In this paper, we proposed a system that extracts keywords using thesaurus which contains data saved by category. The system enhances precision of extracted keywords based on considering correlation of the category. 30 Living Modified Organisms related experimental documents were used in order for performance measurement of the system. The proposed system showed better precision than frequency-based system by 47 % and thesaurus-based system by 18 %.

This study was partially supported by a grant of the Korea Health Industry Development Institute, the Ministry of Health and Welfare.

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References

  1. Cho, T.-H., Seo, J.-H.: Neural approach to the keyword extraction. Journal of Information and Science 27(2), 317–319 (2000)

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Author information

Authors and Affiliations

  1. Dept. of Info. & Telecomm. Engineering, University of Incheon, 177, Dowha-dong, Nam-gu, Incheon, 402-749, Korea

    Young-Ho Woo, Do-Hyun Nam, Yo-Seop Woo & Hong-Ki Min

  2. School of Computing & Info. Systems, Inha Technical college, Incheon, Korea

    Tai-Sung Hur

  3. Dept. of Biofunctional Medicine and Diagnosis, College of Oriental Medicine, Kyung-Hee University, Seoul, Korea

    Young-Bae Park

  4. Dept. of Electronic Engineering, Myungji University, Yongin, Korea

    Woong Huh

Authors
  1. Young-Ho Woo
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  2. Do-Hyun Nam
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  3. Tai-Sung Hur
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  4. Young-Bae Park
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  5. Woong Huh
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  6. Yo-Seop Woo
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  7. Hong-Ki Min
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Woo, YH. et al. (2006). Automated Keyword Extraction Using Category Correlation of Data. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588_24

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  • DOI: https://doi.org/10.1007/11751588_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34072-0

  • Online ISBN: 978-3-540-34074-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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