A Study of Retrieval Model Providing Relevant Sentences in Storytelling on Semantic Web

이태영

doi:10.3743/KOSIM.2009.26.4.007

P-ISSN1013-0799
E-ISSN2586-2073
KCI

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Vol.26 No.4

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A Study of Retrieval Model Providing Relevant Sentences in Storytelling on Semantic Web

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073

2009, v.26 no.4, pp.7-34

https://doi.org/10.3743/KOSIM.2009.26.4.007

(2009). A Study of Retrieval Model Providing Relevant Sentences in Storytelling on Semantic Web. Journal of the Korean Society for Information Management, 26(4), 7-34, https://doi.org/10.3743/KOSIM.2009.26.4.007

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Abstract

Structures of stories, paragraphs, and sentences and inferences applied to indexing and searching were studied to construct the full-text and sentence retrieval system for storytelling. The system designed the database of stories, paragraphs, and sentences and the knowledge-base of inference rules to aid to write the story. The Knowledge-base comprised the files of story frames, paragraph scripts, and sentence logics made by mark-up languages like SWRL etc. able to operate in semantic web. It is necessary to establish more precise indexing language represented the sentences and to create a mark-up languages able to construct more accurate inference rules.

keywords: storytelling, semantic web, fact retrieval, knowledge-base, sentence retieval, paragraph retrieval, inference rule, storytelling, semantic web, fact retrieval, knowledge-base, sentence retieval, paragraph retrieval, inference rule, 이야기 쓰기, 시맨틱, 웹, 사항검색, 지식베이스, 문장검색, 단락검색, 추론규칙

Reference

김영택. (2001). 자연언어처리:생능출판사.

김효영. (2005). 이야기 구조에 따른 만 2, 3세 유아의 이야기 이해. 아동학회지, 26(1), 15-29.

송용욱. (2006). 차세대 웹을 위한 SWRL 기반 역방향 추론엔진 SMART-B의 개발. 지능정보연구, 12(2), 67-82.

오택섭. (2003). 사회과학 데이터 분석법 1:나남출판.

이삼형. (1994). 설명적 텍스트의 내용 구조 분석방법과 교육적 적용 연구.

이태영. (1999). PC통신과 웹에서 지역알림정보의작성을 돕는 전문가적인 서비스 모형에관한 연구-지역주민의 견문을 중심으로-. 정보관리학회지, 16(1), 89-118.

한명숙. (2003). 이야기 구조의 구성 모형에 관한 연구. 국어교육학연구, (16), 559-583.

Berners-Lee, T. The semantic web.

Bringsjord, S. (2000). Artificial Intelligence and Literary Creativity; Inside the Mind of BRUTUS, a Storytelling Machine:Lawrence Erlbaum Associates.

10.

Cooper, M. D. (1998). Design consideration and retrieval using empirical facts: Evaluation retrieval systems. JASIS, 49(10), 903-919.

11.

FAO Corporate Document Repository. http://www.fao.org/docrep/008/af2 34e/af234e01.htm.

12.

Giarratano, J. (1998). Expert Systems: Principles and Programming:PWS Publishing Company.

13.

Nagao, Makoto. (1996). 차세대 웹과 온톨로지 의 핵심기술 자연언어처리:홍릉과학사.

14.

Manning, C. D. (2008). Introduction to Information Retrieval:Cambridge University Press.

15.

On-line Writing Center of Purdue University. http://owl.english.purdue.edu/.

16.

On-line Writing Center of Purdue University. http://owl.english.purdue.edu/writers/by_topic.htm.

17.

Pe´rez, R. P. (2004). Three computer-based models of storytelling: BRUTUS, MINSTEL and MEXICA. Knowledge-Based Systems, 17, 15-29.

18.

Pretorius, A. J. Ontologies-introduction and overview. http://www.starlab.vub.ac.be/teaching/Ontologies_Intr_Overv.pdf.

19.

Schank, R. C. (1975). Scripts, plans and knowledge. IJCAI, 75, 151-157.

20.

Schank, R. C. (1977). How to learn/What to learn. IJCAI, 77, 8-14.

21.

Thorndyke, P. W. (2000). Artificial Intelligence and Literary Creativity; Inside the Mind of BRUTUS, a Storytelling Machine:Lawrence Erlbaum Associates.

22.

Turner, S. R. (1993). MINSTREL: A computer model of creativity and storytelling.

23.

Wikipedia. the free encyclopedia. http://en.wikipedia.org/wiki/Semantic_Web.

24.

World Wide Web Consortium. http://www.w3.org/Submission/SWRL/.

25.

World Wide Web Consortium. http://www.w3.org/TR/2004/RECowl-ref-20040210/.

26.

World Wide Web Consortium. http://www.w3.org/TR/2004/RECrdf-schema-20040210/.