TY - GEN
T1 - Describing story evolution from dynamic information streams
AU - Rose, Stuart
AU - Butner, Scott
AU - Cowley, Wendy
AU - Gregory, Michelle
AU - Walker, Julia
PY - 2009
Y1 - 2009
N2 - Sources of streaming information, such as news syndicates, publish information continuously. Information portals and news aggregators list the latest information from around the world enabling information consumers to easily identify events in the past 24 hours. The volume and velocity of these streams causes information from prior days to quickly vanish despite its utility in providing an informative context for interpreting new information. Few capabilities exist to support an individual attempting to identify or understand trends and changes from streaming information over time. The burden of retaining prior information and integrating with the new is left to the skills, determination, and discipline of each individual. In this paper we present a visual analytics system for linking essential content from information streams over time into dynamic stories that develop and change over multiple days. We describe particular challenges to the analysis of streaming information and present a fundamental visual representation for showing story change and evolution over time.
AB - Sources of streaming information, such as news syndicates, publish information continuously. Information portals and news aggregators list the latest information from around the world enabling information consumers to easily identify events in the past 24 hours. The volume and velocity of these streams causes information from prior days to quickly vanish despite its utility in providing an informative context for interpreting new information. Few capabilities exist to support an individual attempting to identify or understand trends and changes from streaming information over time. The burden of retaining prior information and integrating with the new is left to the skills, determination, and discipline of each individual. In this paper we present a visual analytics system for linking essential content from information streams over time into dynamic stories that develop and change over multiple days. We describe particular challenges to the analysis of streaming information and present a fundamental visual representation for showing story change and evolution over time.
KW - H.3.1 [content analysis and indexing]: abstracting methods
KW - H.3.3 [information search and retrieval]: information filtering
KW - H.3.7 [digital libraries]: user issues
KW - I.3.3 [computer graphics]: picture/image generation
UR - http://www.scopus.com/inward/record.url?scp=72849129961&partnerID=8YFLogxK
U2 - 10.1109/VAST.2009.5333437
DO - 10.1109/VAST.2009.5333437
M3 - Contribución a la conferencia
AN - SCOPUS:72849129961
SN - 9781424452835
T3 - VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
SP - 99
EP - 106
BT - VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
T2 - VAST 09 - IEEE Symposium on Visual Analytics Science and Technology
Y2 - 12 October 2009 through 13 October 2009
ER -