From Assets to Stories via the Google Cultural Institute Platform
IEEE BigData'13 Big Data and the Humanities (2013), pp. 6 (to appear)
W. Brent Seales, Steve Crossan, Sertan Girgin, Mark Yoshitake
Extraction is the inference of context from two sources of information: explicitly provided metadata, and automatically extracted features. Knowledge is the use of a large refer- ence fact database for further contextualizing an asset based on its descriptors. And scale, achieved through global self-serve, enables massively expanded coverage of the knowledge database and crowdsource potential for metadata reﬁnement.
Together these components sustain a storytelling framework and a compelling user experience that has the potential to become the largest repository of cultural information and coherent narrative in history.