Title
A platform for mining and visualizing regional collective culture
Abstract
This paper proposes computational methods for mining and visualizing collective culture among the community members of a region. This paper first outlines a procedure to extract significant narratives with text mining technique and spatiotemporal analysis on the textual data transcribed from oral-history interviews with the regional community members. It also introduces the KACHINA-CUBE system that imports the narratives as contextualized fragments of sentences based on spatiotemporal information, visualizes them onto a virtual 3D space, and assist researchers to discover commonalities and diversities among them based on the trajectory equifinality model (TEM), which is a theoretical framework to clarify both the similarities and differences among the trajectories of individual life courses. At the end of this paper, we illustrate a test case on collective culture regarding the once-flourishing film industry in Kyoto.
Year
DOI
Venue
2010
10.1007/978-3-642-17184-0_15
Culture and Computing
Keywords
Field
DocType
regional collective culture,community member,collective culture,computational method,text mining technique,spatiotemporal information,contextualized fragment,kachina-cube system,spatiotemporal analysis,regional community member,individual life course,narrative analysis,text mining
Data science,Narrative inquiry,Film industry,Equifinality,Narrative,Spatiotemporal Analysis,Multimedia,Geography
Conference
Volume
ISSN
ISBN
6259
0302-9743
3-642-17183-4
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Shin Ohno1285.42
Shinya Saito200.34
Mitsuyuki Inaba311.36