Generating educational tourism narratives from wikipedia

Brent Hecht, Nicole Starosielski, Drew Dara-Abrams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a narrative theory-based approach to data mining that generates cohesive stories from a Wikipedia corpus. This approach is based on a data mining-friendly view of narrative derived from narratology, and uses a prototype mining algorithm that implements this view. Our initial test case and focus is that of field-based educational tour narrative generation, for which we have successfully implemented a proof-of-concept system called Minotour. This system operates on a client-server model, in which the server mines a Wikipedia database dump to generate narratives between any two spatial features that have associated Wikipedia articles. The server then delivers those narratives to mobile device clients.

Original languageEnglish (US)
Title of host publicationIntelligent Narrative Technologies - Papers from the AAAI Fall Symposium, Technical Report
Pages37-44
Number of pages8
StatePublished - Dec 1 2007
Event2007 AAAI Fall Symposium - Arlington, VA, United States
Duration: Nov 9 2007Nov 11 2007

Publication series

NameAAAI Fall Symposium - Technical Report
VolumeFS-07-05

Other

Other2007 AAAI Fall Symposium
CountryUnited States
CityArlington, VA
Period11/9/0711/11/07

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hecht, B., Starosielski, N., & Dara-Abrams, D. (2007). Generating educational tourism narratives from wikipedia. In Intelligent Narrative Technologies - Papers from the AAAI Fall Symposium, Technical Report (pp. 37-44). (AAAI Fall Symposium - Technical Report; Vol. FS-07-05).