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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
  • Abbr : JKOSIM
  • 2009, 26(4), pp.7~33
  • DOI : 10.3743/KOSIM.2009.26.4.007
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : October 1, 2009
  • Accepted : October 15, 2009
  • Published : December 30, 2009

Tae-Young Lee 1

1전북대학교

Accredited

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.

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