skip to main content
10.1145/1754288.1754296acmotherconferencesArticle/Chapter ViewAbstractPublication PagescomputeConference Proceedingsconference-collections
research-article

An intelligent system for semi-automatic story generation for kids using ontology

Published:22 January 2010Publication History

ABSTRACT

Story grabs the attention of all sorts of people like young, old, children etc. Everyone is always having a special interest in either reading or listening stories. Readers may have different taste and interests and also they have their own choice of stories. Some may be fond of mystic ones or science fiction, or mythology, or romantic stories but in common people love to read stories. Creative people may land their footsteps in the art of writing stories with their own creativity and imagination. They will produce interesting themes for the stories with their innovative thoughts. A writer has the responsibility to make the readers visualize the story in their mind in order to make the story as vivid and lively. The art of writing attractive stories requires a lot of creativity and intelligence to lead the story in a right way. This Automatic story generation system provides an environment for the user to construct or rewrite the story as per their desire, through user interaction. The most attractive feature of this system is that it allows the user to select the characters, objects and location for the story in which they are constructed. Ontology helps to provide the attributes of the characters, objects and locations to the generated story. As a result, ontology preserves the meaning of system generated story in an interesting way. Ontology is a formal explicit specification of shared conceptualization. This intelligent automatic story generation system helps for dynamic construction of stories using ontology in a neat fashion.

References

  1. Gruber, T., "A Translation Approach to Portable Ontology Specifications", Knowledge Acquisition, 5(2), 199--220, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. N. Noy, D. L. McGuinness, Ontology Development 101: A guide to Creating your First Ontology, Stanford Medical Informatics Technical Report No. SMI-2001-0880, 2000.Google ScholarGoogle Scholar
  3. V. Propp. "Morphology of the Folktale", University of Texas Press, 1968.Google ScholarGoogle Scholar
  4. Federico Peinado, Pablo Gervas, "Evaluation of Automatic Generation of Basic Stories "New Generation Computing, Computational Paradigms and Computational Intelligence. Special issue: Computational Creativity 24(3):289--302, 2006.Google ScholarGoogle Scholar
  5. Paul Bailey, "Searching for storiness: Story generation from a Reader's perspective" Symposium on Narrative Intelligence, AAAI Press, 1999.Google ScholarGoogle Scholar
  6. Charles, F.; Mead, S. J.; Cavazza, M. "Character-driven story generation in interactive storytelling" Virtual Systems and Multimedia. Proceedings. Seventh International Conference on Virtual Systems and Multimedia. 25--27 pp no: 609--615, Oct. 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Jie Bao, Caragea. D, Honavar, V. "Towards Collaborative Environments for Ontology Construction and Sharing." Collaborative Technologies and Systems, CTS 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Riedl, M. and Young, RM, "Open-World Planning for Story Generation" Proceedings of the 19th International Joint Conference on Artificial Intelligence. California USA 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Riedl, M. and Young, RM, "From Linear Story Generation to Branching Story Graphs" American Association for Artificial Intelligence(www.aaai.org) 2005. pg 23--29.Google ScholarGoogle Scholar
  10. Hugo Liu, Push Singh. (2002). MAKEBELIEVE: Using Commonsense to Generate Stories. Proceedings of the Eighteenth National Conference on Artificial Intelligence, AAAI 2002, Edmonton, Alberta, Canada. AAAI Press, July 28--August 1, 2002, pp. 957--958. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Jaya A, Uma G V, "A Semantic based Approach for Automatic Story generation Using Multi Agent Framework", The ICFAI University Journal of Computer science, vol. 11, no. 3, July 2008 pp. 78--85.Google ScholarGoogle Scholar
  12. http://protege.stanford.edu/plugins/owl/index.htmlGoogle ScholarGoogle Scholar
  13. http://protege.stanford.edu/plugins/owl/download.html.Google ScholarGoogle Scholar

Index Terms

  1. An intelligent system for semi-automatic story generation for kids using ontology

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      COMPUTE '10: Proceedings of the Third Annual ACM Bangalore Conference
      January 2010
      171 pages
      ISBN:9781450300018
      DOI:10.1145/1754288

      Copyright © 2010 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 January 2010

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate114of622submissions,18%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader