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
VolumeFS-07-05
StatePublished - 2007
Event2007 AAAI Fall Symposium - Arlington, VA, United States
Duration: Nov 9 2007Nov 11 2007

Other

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

Fingerprint

Servers
Data mining
Mobile devices

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 (Vol. FS-07-05, pp. 37-44)

Generating educational tourism narratives from wikipedia. / Hecht, Brent; Starosielski, Nicole; Dara-Abrams, Drew.

Intelligent Narrative Technologies - Papers from the AAAI Fall Symposium, Technical Report. Vol. FS-07-05 2007. p. 37-44.

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

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. vol. FS-07-05, pp. 37-44, 2007 AAAI Fall Symposium, Arlington, VA, United States, 11/9/07.
Hecht B, Starosielski N, Dara-Abrams D. Generating educational tourism narratives from wikipedia. In Intelligent Narrative Technologies - Papers from the AAAI Fall Symposium, Technical Report. Vol. FS-07-05. 2007. p. 37-44
Hecht, Brent ; Starosielski, Nicole ; Dara-Abrams, Drew. / Generating educational tourism narratives from wikipedia. Intelligent Narrative Technologies - Papers from the AAAI Fall Symposium, Technical Report. Vol. FS-07-05 2007. pp. 37-44
@inproceedings{93d6afa81e5941b785be173de7c72373,
title = "Generating educational tourism narratives from wikipedia",
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.",
author = "Brent Hecht and Nicole Starosielski and Drew Dara-Abrams",
year = "2007",
language = "English (US)",
isbn = "9781577353508",
volume = "FS-07-05",
pages = "37--44",
booktitle = "Intelligent Narrative Technologies - Papers from the AAAI Fall Symposium, Technical Report",

}

TY - GEN

T1 - Generating educational tourism narratives from wikipedia

AU - Hecht, Brent

AU - Starosielski, Nicole

AU - Dara-Abrams, Drew

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=51849105999&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51849105999&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781577353508

VL - FS-07-05

SP - 37

EP - 44

BT - Intelligent Narrative Technologies - Papers from the AAAI Fall Symposium, Technical Report

ER -