DocumentCode :
573480
Title :
Semantics clustering based and multi-QoS constraints remote sensing information service discovery method
Author :
Jiang, Ling ; Yuhong Jiang ; Gong, Jianya ; Fang, Hao
Author_Institution :
Sch. of Resources & Environ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2012
fDate :
2-4 Aug. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Remote sensing information services have characteristics of multi-dimension, heterogeneity, and high dynamic performance, so it is very difficult to realize online search by use of UDDI registry of business search engines. It has become a bottle-neck restricting the farther development of remote sensing information services. Considering the characteristics of remote sensing information services, the paper introduces remote sensing information ontologies into the online search of the remote sensing information services and proposes a semantics clustering based and multi-QoS (Quality of Service) constraints method to improve the performance of remote sensing information services discovery. Experimental results show that the method proposed in the paper can attain well search performance.
Keywords :
data mining; geography; geophysics computing; information services; pattern clustering; quality of service; remote sensing; search engines; semantic Web; Quality of Service; UDDI registry; business search engines; multi-QoS constraints; online search; remote sensing information service discovery method; semantics clustering; Classification algorithms; Information services; Quality of service; Remote sensing; Search engines; Semantics; Web services; QoS; remote sensing information service; semantics clustering; service search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2495-3
Electronic_ISBN :
978-1-4673-2494-6
Type :
conf
DOI :
10.1109/Agro-Geoinformatics.2012.6311712
Filename :
6311712
Link To Document :
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