DocumentCode :
2477021
Title :
Integrating intelligent agent and ontology for services discovery on cloud environment
Author :
Chang, Yue-Shan ; Juang, Tong-Ying ; Chang, Che-Hsiang ; Yen, Jing-Shyang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ., New Taipei, Taiwan
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
3215
Lastpage :
3220
Abstract :
With the advance of cloud computing, cloud service providers (CSP) provide increasingly diversified services to users. To utilize general search engine, such as Google, is not an effective and efficient if the services are similar but with different attributes. Therefore, an intelligent service discovery platform is necessary for seeking suitable services accurately and quickly. In the paper1, we propose a framework that integrates intelligent agent and ontology for service discovery in cloud environment. The framework contains some agents and mainly assists users to discovering suitable service according to user demand. User can submit his flat-text based request for discovering required service. We implement a cloud service discovery environment to demonstrate the concept and its application. We also utilize the Recall and Precision to evaluate the accuracy of the system.
Keywords :
Web services; cloud computing; multi-agent systems; ontologies (artificial intelligence); CSP; cloud computing; cloud environment; cloud service discovery; cloud service provider; flat-text based request; intelligent agent; intelligent service discovery platform; ontology; recall-and-precision; Cloud computing; Cognition; Filtering; Mobile agents; OWL; Ontologies; Service oriented architecture; Cloud Computing; Cloud Service Discovery; Intellignet Agent; Multi-Agent; Ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6378286
Filename :
6378286
Link To Document :
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