Information Technology Reference
In-Depth Information
Fragment class:
Generic class for fragmented sentences
StoryFragment class:
Fragmented sentences from narrative data
HistoryFragment class:
Topics that are considered as historical fact
Storyline class:
Contextualized data consists of story/historical fragments
The
Attribute
class is used to represent the spatiotemporal information of the
narrative data in KC. It has the followings two subclasses.
Geography class:
Geographical information of story and historical fragments
Temporal class:
Time related to the incidents in story or historical fragments
Since each fragment has both spatial and temporal information, the standard
format is suitable for KC and motivates other researchers to access the data. It
should be noted that this data format allows us to define semasiological rela-
tionship and class structure among fragmented sentences.
3.3 OPP Detector
Valsiner and Sato [11] proposed the concept of Trajectory Equifinality Model
(TEM) as a framework to analyze personal experience with diverse and possible
trajectories. One of the components to support TEM, OPP (Obligatory Passage
Point) is the point which most of the people have to go through because of their
socio-cultural contexts, institutions, and customs.
Implemented in KC, OPP detector can find fragmented sentences related to
similar space or time in multiple narratives provided by research participants.
Fig. 5 illustrates how KC finds OPP among the narratives. Narratives A to D
in the figure go through similar space and time. OPP detector of KC recognizes
the intersection of the narratives as OPP.Inotherwords,OPP detector assists
researchers' understanding on regional collective culture based on the analysis
on multiple personal life courses.
4 Application
4.1 A Test Case of Implementation
To advocate the method, we implemented tools and databases to extract the
information related to personal culture based on the method we discussed above,
and imported the extracted data into the KC system.
As a test case, we used the narrative data of movie culture in Kyoto's Rakusai
area, a.k.a., Japan's Hollywood. We utilized oral history data collected by [6], [7],
