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