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 language | English (US) |
|---|---|
| Title of host publication | Intelligent Narrative Technologies - Papers from the AAAI Fall Symposium, Technical Report |
| Pages | 37-44 |
| Number of pages | 8 |
| Volume | FS-07-05 |
| State | Published - Dec 1 2007 |
| Event | 2007 AAAI Fall Symposium - Arlington, VA, United States Duration: Nov 9 2007 → Nov 11 2007 |
Other
| Other | 2007 AAAI Fall Symposium |
|---|---|
| Country/Territory | United States |
| City | Arlington, VA |
| Period | 11/9/07 → 11/11/07 |
ASJC Scopus subject areas
- Engineering(all)