A TASK-DRIVEN DISASTER DATA LINK APPROACH
With the rapid development of sensor networks and Earth observation technology, a large quantity of disaster-related data is available, such as remotely sensed data, historic data, cases data, simulation data, disaster products and so on. However, the efficiency of current data management and servic...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-08-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/179/2015/isprsarchives-XL-3-W3-179-2015.pdf |
| Summary: | With the rapid development of sensor networks and Earth observation technology, a large quantity of disaster-related data is
available, such as remotely sensed data, historic data, cases data, simulation data, disaster products and so on. However, the
efficiency of current data management and service systems has become increasingly serious due to the task variety and
heterogeneous data. For emergency task-oriented applications, data searching mainly relies on artificial experience based on simple
metadata index, whose high time-consuming and low accuracy cannot satisfy the requirements of disaster products on velocity and
veracity. In this paper, a task-oriented linking method is proposed for efficient disaster data management and intelligent service, with
the objectives of 1) putting forward ontologies of disaster task and data to unify the different semantics of multi-source information,
2) identifying the semantic mapping from emergency tasks to multiple sources on the basis of uniform description in 1), 3) linking
task-related data automatically and calculating the degree of correlation between each data and a target task. The method breaks
through traditional static management of disaster data and establishes a base for intelligent retrieval and active push of disaster
information. The case study presented in this paper illustrates the use of the method with a flood emergency relief task. |
|---|---|
| ISSN: | 1682-1750 2194-9034 |