JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Recognition Method for Korean Spatial Background in Historical Novels
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Recognition Method for Korean Spatial Background in Historical Novels
Kim, Seo-Hee; Kim, Seung-Hoon;
  PDF(new window)
 Abstract
Background in a novel is most important elements with characters and events, and means time, place and situation that characters appeared. Among the background, spatial background can help conveys topic of a novel. So, it may be helpful for choosing a novel that readers want to read. In this paper, we are targeting Korean historical novels. In case of English text, It can be recognize spatial background easily because it use upper and lower case and words used with the spatial information such as Bank, University and City. But, in case Korean text, it is difficult to recognize that spatial background because there is few information about usage of letter. In the previous studies, they use machine learning or dictionaries and rules to recognize about spatial information in text such as news and text messages. In this paper, we build a nation dictionaries that refer to information such as `Korean history` and `Google maps.` We Also propose a method for recognizing spatial background based on patterns of postposition in Korean sentences comparing to previous works. We are grasp using of postposition with spatial background because Korean characteristics. And we propose a method based on result of morpheme analyze and frequency in a novel text for raising accuracy about recognizing spatial background. The recognized spatial background can help readers to grasp the atmosphere of a novel and to understand the events and atmosphere through recognition of the spatial background of the scene that characters appeared.
 Keywords
Data Mining;Korean Historical Novels;Korean Linguistic Feature;Spatial Background;
 Language
Korean
 Cited by
 References
1.
Jaber, M.J. and S. Saad, "NER in English Translation of Hadith Documents using Classifiers Combination", Journal of Theoretical and Applied Information Technology, Vol. 84, No.3, 2016, 348-354.

2.
Jang, H.S., 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, 397-400. (장혜숙, 정규철, 이진관, 박기홍, "사전을 이용한 규칙 기반의 세분화된 한국어 지명 인식", 한국인터넷정보학회, 제6권, 제1호, 2005, 397-400.)

3.
Kim, J.H. and H.C. Kim, "Automatically Registering Schedules from SMS Messages on Handheld Devices", Korean Journal of Cognitive Science, Vol.22, No.1, 2011, 1-18. (김재훈, 김형철, "휴대전화에서 단문 메시지로부터 일정 자동 등록", 한국인지과학회, 제22권, 제1호, 2011, 1-18.) crossref(new window)

4.
Kwon, H.I., Y.B. Na, M.O. Yu, and K.S. Choi, "A Study of a Personalized Curation Service and Business Model based on Book Information", Journal of Information Technology Services, Vol.14, No.1, 2015, 251-262. (권혁인, 나윤빈, 유미옥, 최광선, "도서정보 기반의 고객 맞춤형 큐레이션 서비스 및 비즈니스 모델 연구", 한국IT서비스학회지, 제14권, 제1호, 2015, 251-262.)

5.
Lee, K.H., 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, 292-299. (이경희, 이주호, 최명석, 김길창, "한국어 문서에서 개체명 인식에 관한 연구", 제12회 한글 및 한국어정보처리 학술대회, 2000, 292-299.)

6.
Park, S.R., K.S. Lee, S.W. Ryu, and H.B. Kim, "Story Space Visualization Using Natural Language Processing", The HCI Society of Korea, 2014, 62-63. (박수란, 이기석, 류성원, 김현빈, "자연어 처리를 이용한 이야기 공간 시각화", 한국HCI학회학술대회, 2014, 62-63.)

7.
Prasad, G. 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, 1-4.

8.
Srinivasagan, K.G., S. Suganthi, and N. Jeyashenbagavalli, "An Automated System for Tamil Named Entity Recognition Using Hybrid Approach", International Conference on Intelligent Computing Applications (ICICA), 2014, 435-439.

9.
Todorovic, B.T., 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, 43-46.

10.
Zhang, Y.J. and T. Zhang, "Me-Based Chinese Person Name and Location Name Recognition Model", International Conference on Machine Learning and Cybernetics, Vol.6, 2007, 3442-3447.