Automated keyword extraction using category correlation of data

Authors:
Young-Ho Woo;Do-Hyun Nam;Tai-Sung Hur;Young-Bae Park;Woong Huh;Yo-Seop Woo;Hong-Ki Min
Affiliations:
Dept. of Info. & Telecomm. Engineering, University of Incheon, Incheon, Korea;Dept. of Info. & Telecomm. Engineering, University of Incheon, Incheon, Korea;School of Computing & Info. Systems, Inha Technical college, Incheon, Korea;Dept. of Biofunctional Medicine and Diagnosis, College of Oriental Medicine, Kyung-Hee University, Seoul, Korea;Dept. of Electronic Engineering, Myungji University, Yongin, Korea;Dept. of Info. & Telecomm. Engineering, University of Incheon, Incheon, Korea;Dept. of Info. & Telecomm. Engineering, University of Incheon, Incheon, Korea
Venue:
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Year:
2006

Citing 2
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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 %.