Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
A Study of Computational Organizational Narrative Generation for Decision Support
Authors: Yeung C.L., Cheung C.F., Wang W.M., Tsui E.
Abstract:
Narratives are invaluable assets of human lives. Due to the distinct features of narratives, they are useful for supporting human reasoning processes. However, many useful narratives become residuals in organizations or human minds nowadays. Researchers have contributed effort to investigate and improve narrative generation processes. This paper attempts to contemplate essential components in narratives and explore a computational approach to acquire and extract knowledge to generate narratives. The methodology and significant benefit for decision support are presented.Keywords: Decision Support, Knowledge Management, Knowledge-based Systems, Narrative Generation
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1062370
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1302References:
[1] Balen, R., Rhodes, C. & Ward, L. 2010, "The Power of Stories: Using Narrative for Interdisciplinary Learning in Health and Social Care", Social Work Education: The International Journal, vol. 29, no. 4, pp. 416-426.
[2] Easterby-Smith, M. & Lyles, M.A. 2003, The Blackwell handbook of organizational learning and knowledge management, Blackwell Pub, Malden.
[3] Czarniawska-Joerges, B. 1995, "Narration or Science? Collapsing the Division in Organization Studies", Organization, vol. 2, no. 1, pp. 11-33.
[4] Fisher, W.R. 1987, Human Communication as Narration: Toward a Philosophy of Reason, Valuse, and Action. University of South Carolina Press (Columbia, S.C.).
[5] Lounsbury, M. & Glynn, M.A. 2001, "Cultural entrepreneurship: stories, legitimacy, and the acquisition of resources", Strategic Management Journal, vol. 22, no. 6-7, pp. 545-564.
[6] Riedl, M.O. & Young, R.M. 2006, "From Linear Story Generation to Branching Story Graphs", IEEE Computer Graphics and Applications, vol. 26, no. 3, pp. 23-31
[7] Schank, R.C. & Riesbeck, C.K. 1981, Insider computer understanding: five programs plus miniatures, Lawrebce Erlbaum Associates, Inc. Publishers, Hillsdale, New Jersey.
[8] Pérez y Pérez, R. & Sharples, M. 2004, "Three computer-based models of storytelling: BRUTUS, MINSTREL and MEXICA", Knowledge-Based Systems, vol. 17, no. 1, pp. 15-29.
[9] Cooper, L. 1947, Aristotle, On the art of poetry, Revised edn , Ithaca and London: Cornell University.
[10] Branigan, E. 1992, Narrative Comprehensaion and Film. Routledge, New York.
[11] Altman, R. 2008, A Theory of Narrative, University Press., New York: Columbia.
[12] Wang, W.M., Cheung, C.F., Lee, W.B. & Kwok, S.K. 2008, "Mining knowledge from natural language texts using fuzzy associated concept mapping", Information Processing & Management, vol. 44, no. 5, pp. 1707-1719.
[13] Labour Department 2010, September-last update, Occupational Safety and Health Statisitcs Bulletin. Available: http://www.labour.gov.hk/eng/osh/pdf/Bulletin2010.pdf
[2010, November].