Semantic based clustering system with cloud computing
Hmway Hmway Tar, Zay Ya Zaw · 2017
This paper presented a novel approach for document clustering applying cloud technologies for the system's performance issue. It is critical for application service in cloud computing to provide precise information. Ontology servicing is one of the methods to deal with semantic ambiguity and information overload efficiently through appropriate semantic models and semantic technology. This system is the advanced and extended version of the system we have been published before. The experiments reveal that even the testing documents increased; the system may actually be able to produce useful result for text document clustering. In this paper, we propose a cloud service that exploits a novel ontology-based technique for identifying cloud service to improve the accuracy of cloud services searching. Our approach has the capability to perform cloud service concepts from cloud service sources. The main idea behind our method is cloud services using an ontology-based technique.