International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 144 - Issue 6 |
Published: Jun 2016 |
Authors: Samson D. Plavila, Ruhi Bajaj |
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Samson D. Plavila, Ruhi Bajaj . Cloud based Mobile Web Service Discovery using Semantic Matching and Key-Word based Approach. International Journal of Computer Applications. 144, 6 (Jun 2016), 18-22. DOI=10.5120/ijca2016910325
@article{ 10.5120/ijca2016910325, author = { Samson D. Plavila,Ruhi Bajaj }, title = { Cloud based Mobile Web Service Discovery using Semantic Matching and Key-Word based Approach }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 144 }, number = { 6 }, pages = { 18-22 }, doi = { 10.5120/ijca2016910325 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Samson D. Plavila %A Ruhi Bajaj %T Cloud based Mobile Web Service Discovery using Semantic Matching and Key-Word based Approach%T %J International Journal of Computer Applications %V 144 %N 6 %P 18-22 %R 10.5120/ijca2016910325 %I Foundation of Computer Science (FCS), NY, USA
Use of web-services in devices with low processing capability has increased with the advancement in wireless technologies. Web-services are mainly used to reduce overhead of heavy processing in resource limited environment. Many public web-services are available that can be used to retrieve information or perform a task .Web-Service discovery is the process of discovering relevant web-services for the user based on users specification. Discovery of relevant web-services are mainly based on two methods text based matching and semantic matching. Searching for web-service is resource consuming and low-end devices or mobile devices cannot efficiently perform the task. A cloud-server can be an excellent candidate for this job as its resources are not limited and can be scaled easily they are cost effective. In this paper a frame-work for discovering relevant mobile web-services using a cloud based web-service matching algorithm is proposed. The frame-work is expected to provide efficient results and quick response time.