Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30076
A Recognition Method for Spatio-Temporal Background in Korean Historical Novels

Authors: Seo-Hee Kim, Kee-Won Kim, Seung-Hoon Kim

Abstract:

The most important elements of a novel are the characters, events and background. The background represents the time, place and situation that character appears, and conveys event and atmosphere more realistically. If readers have the proper knowledge about background of novels, it may be helpful for understanding the atmosphere of a novel and choosing a novel that readers want to read. In this paper, we are targeting Korean historical novels because spatio-temporal background especially performs an important role in historical novels among the genre of Korean novels. To the best of our knowledge, we could not find previous study that was aimed at Korean novels. In this paper, we build a Korean historical national dictionary. Our dictionary has historical places and temple names of kings over many generations as well as currently existing spatial words or temporal words in Korean history. We also present a method for recognizing spatio-temporal background based on patterns of phrasal words in Korean sentences. Our rules utilize postposition for spatial background recognition and temple names for temporal background recognition. The knowledge of the recognized background can help readers to understand the flow of events and atmosphere, and can use to visualize the elements of novels.

Keywords: Data mining, Korean historical novels, Korean linguistic feature, spatio-temporal background.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1123566

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 796

References:


[1] K. G. Srinivasagan, S. Suganthi and N. Jeyashenbagavalli, "An Automated System for Tamil Named Entity Recognition Using Hybrid Approach," International Conference on Intelligent Computing Applications (ICICA), 2014, pp. 435-439.
[2] G. Prasad and K. K. Fousiya, "Named Entity Recognition Approaches: A Study applied to English and Hindi Language," International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2015, pp. 1-4.
[3] Y. J. Zhang and T. Zhang, "Me-Based Chinese Person Name and Location Name Recognition Model," International Conference on Machine Learning and Cybernetics, vol. 6, 2007, pp. 3441-3447.
[4] B. T. Todorovic, S. R. Rancic, I. M. Markovic, E. H. Mulalic and V. M. Ilic, "Named Entity Recognition and Classification using Context Hidden Markov Model," 9th Symposium on Neural Network Applications in Electrical Engineering, 2008, pp. 43-46.
[5] H. S. Jang, K. C. Jung, J. K. Lee and K. H. Park, "Recognition of Korean Place Names on the Internet by Using the Rules of Dictionary Use," Korean Society for Internet Information, vol. 6, no. 1, 2005, pp. 397-400.
[6] K. H. Lee, J. H. Lee, M. S. Choi and G. C. Kim, "Study on Named Entity Recognition in Korean Text," Proceedings of the 12th Annual Conference on Human and Cognitive Language Technology, 2000, pp. 292-299.
[7] S. H. Kim and S. H. Kim, "A Recognition Method for Korean Spatial Background in Historical Novels", Journal of Information Technology services, submitted.