Phenomena-based management of geotime-tagged contents on the web

Kyoung Sook Kim, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010
Pages173-178
Number of pages6
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010 - Menuires, France
Duration: 2010 Apr 112010 Apr 16

Other

Other2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010
CountryFrance
CityMenuires
Period10/4/1110/4/16

Fingerprint

Earthquakes
Visualization
Internet

Keywords

  • 3D geo-visualization
  • Geotime-tagged contents
  • Moving phenomena
  • Spatiotemporal data analysis
  • Top-k keywords

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

Kim, K. S., Zettsu, K., Kidawara, Y., & Kiyoki, Y. (2010). Phenomena-based management of geotime-tagged contents on the web. In 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010 (pp. 173-178). [5477130] https://doi.org/10.1109/DBKDA.2010.38

Phenomena-based management of geotime-tagged contents on the web. / Kim, Kyoung Sook; Zettsu, Koji; Kidawara, Yutaka; Kiyoki, Yasushi.

2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010. 2010. p. 173-178 5477130.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, KS, Zettsu, K, Kidawara, Y & Kiyoki, Y 2010, Phenomena-based management of geotime-tagged contents on the web. in 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010., 5477130, pp. 173-178, 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010, Menuires, France, 10/4/11. https://doi.org/10.1109/DBKDA.2010.38
Kim KS, Zettsu K, Kidawara Y, Kiyoki Y. Phenomena-based management of geotime-tagged contents on the web. In 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010. 2010. p. 173-178. 5477130 https://doi.org/10.1109/DBKDA.2010.38
Kim, Kyoung Sook ; Zettsu, Koji ; Kidawara, Yutaka ; Kiyoki, Yasushi. / Phenomena-based management of geotime-tagged contents on the web. 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010. 2010. pp. 173-178
@inproceedings{de82a382ac1f47aba839d23cda1c1faf,
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.",
keywords = "3D geo-visualization, Geotime-tagged contents, Moving phenomena, Spatiotemporal data analysis, Top-k keywords",
author = "Kim, {Kyoung Sook} and Koji Zettsu and Yutaka Kidawara and Yasushi Kiyoki",
year = "2010",
doi = "10.1109/DBKDA.2010.38",
language = "English",
isbn = "9780769539812",
pages = "173--178",
booktitle = "2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010",

}

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

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

SP - 173

EP - 178

BT - 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010

ER -