@article{(Open Science Index):https://publications.waset.org/pdf/10004067,
	  title     = {A Recognition Method for Spatio-Temporal Background in Korean Historical Novels },
	  author    = {Seo-Hee Kim and  Kee-Won Kim and  Seung-Hoon Kim},
	  country	= {},
	  institution	= {},
	  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.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {10},
	  number    = {3},
	  year      = {2016},
	  pages     = {554 - 557},
	  ee        = {https://publications.waset.org/pdf/10004067},
	  url   	= {https://publications.waset.org/vol/111},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 111, 2016},
	}