TY - GEN
T1 - Phenomena-based management of geotime-tagged contents on the web
AU - Kim, Kyoung Sook
AU - Zettsu, Koji
AU - Kidawara, Yutaka
AU - Kiyoki, Yasushi
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - Recently, Geoweb services help people easily create and share geo-spatiotemporal contents through Internet. As a result, it becomes an emerging issue to manage Geoweb contents in exploding lots of spatiotemporal information and to obtain comprehensive knowledge about the real world using web contents. This paper proposes a novel approach for managing geotime-tagged contents on the basis of moving phenomena, such as typhoons, earthquakes, and flooding. In this study, a moving phenomenon is represented by a predefined three-dimensional object in a spatiotemporal domain with predefined meanings, and we define a phenomena-based predicate template named Relates as a combination of spatial, temporal, and thematic constraints. By using the Relates predicate, we can dynamically aggregate geotime-tagged contents along three aspects: location, time, and topic. Moreover, we present an application of the phenomena-based contents management, called k-Sticker. k-Sticker allows users to find top-k terms related to their own moving phenomenon through a three-dimensional (two spatial dimensions and one temporal dimension) visualization method.
AB - Recently, Geoweb services help people easily create and share geo-spatiotemporal contents through Internet. As a result, it becomes an emerging issue to manage Geoweb contents in exploding lots of spatiotemporal information and to obtain comprehensive knowledge about the real world using web contents. This paper proposes a novel approach for managing geotime-tagged contents on the basis of moving phenomena, such as typhoons, earthquakes, and flooding. In this study, a moving phenomenon is represented by a predefined three-dimensional object in a spatiotemporal domain with predefined meanings, and we define a phenomena-based predicate template named Relates as a combination of spatial, temporal, and thematic constraints. By using the Relates predicate, we can dynamically aggregate geotime-tagged contents along three aspects: location, time, and topic. Moreover, we present an application of the phenomena-based contents management, called k-Sticker. k-Sticker allows users to find top-k terms related to their own moving phenomenon through a three-dimensional (two spatial dimensions and one temporal dimension) visualization method.
KW - 3D geo-visualization
KW - Geotime-tagged contents
KW - Moving phenomena
KW - Spatiotemporal data analysis
KW - Top-k keywords
UR - http://www.scopus.com/inward/record.url?scp=77954498360&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954498360&partnerID=8YFLogxK
U2 - 10.1109/DBKDA.2010.38
DO - 10.1109/DBKDA.2010.38
M3 - Conference contribution
AN - SCOPUS:77954498360
SN - 9780769539812
T3 - 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010
SP - 173
EP - 178
BT - 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010
T2 - 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010
Y2 - 11 April 2010 through 16 April 2010
ER -