Paper Info
Title
Phenomena-Based Management of Geotime-Tagged Contents on the Web
Abstract
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.
Year
DOI
Venue
2010
10.1109/DBKDA.2010.38
DBKDA
Keywords
Field
DocType
geoweb services,aggregate geotime-tagged content,web services,three-dimensional visualization method,geographic information systems,geoweb service,predefined meaning,predefined three-dimensional object,spatial dimension,top-k keywords,spatiotemporal data analysis,phenomena-based management,phenomena-based contents management,k-sticker,relates predicate,data visualisation,moving phenomena,geotime-tagged content,web,3d geo-visualization,geotime-tagged contents,geoweb content,geoweb contents,phenomena-based predicate template,hurricanes,environmental management,geometry,data analysis,content management,knowledge management,typhoons,three dimensional,technology management,visualization,shape,databases
Data mining,Geographic information system,World Wide Web,Data visualization,Geoweb,Computer science,Visualization,Thematic map,Predicate (grammar),Web service,Database,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4244-6081-6
0
0.34
References 
Authors
11
4
Name
Order
Citations
PageRank
Kyoung-Sook Kim12414.07
Koji Zettsu221239.07
Yutaka Kidawara315127.45
Yasushi Kiyoki4596148.12