DocumentCode
147696
Title
Semantic requirements analysis for the Integrated Earth Observation Sensor Web for the digital earth
Author
Xiaolei Wang ; Nengcheng Chen ; Chao Wang ; Chuli Hu
Author_Institution
State Key Lab. for Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China
fYear
2014
fDate
25-27 June 2014
Firstpage
1
Lastpage
6
Abstract
The integration of semantics in the context of the Earth Observation Sensor Web can achieve a clear and detailed expression of resources. The semantics plays a major role in providing resource discovery and automatic composition as well as machine interpretation in an interoperable way. This article summarizes the recent developments of the Semantic Sensor Web, and proposes the Integrated Earth Observation Sensor Web (IEOSW). The IEOSW could achieve collaborative observation for multi-sensors within multi-platforms, and process diverse data and models for emergency and long-term events. The progress of IEOSW reflects limitations about accessing, sharing, discovering, and managing resources across various applications. This paper focuses on semantic requirements of IEOSW, which improves the interoperation of heterogeneous resources and communication protocols. The architecture and potential capabilities of IEOSW with semantics and to meet semantic acquirements are proposed. Furthermore, five major aspects of semantic requirements under IEOSW are discussed for flood monitoring.
Keywords
Internet; floods; geographic information systems; open systems; sensors; Integrated Earth Observation Sensor Web; collaborative observation; digital Earth; flood monitoring; machine interpretation; multisensors; resource access; resource discovery; resource management; resource sharing; semantic requirements analysis; semantic sensor Web; Computer architecture; Geology; Monitoring; Ontologies; Semantics; Analysis; Geographic Information Science; Requirements; Semantic Web; Sensor Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GeoInformatics), 2014 22nd International Conference on
Conference_Location
Kaohsiung
ISSN
2161-024X
Type
conf
DOI
10.1109/GEOINFORMATICS.2014.6950809
Filename
6950809
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