Romeo Mark A. Mateo, Hyun-Ho Yang, Jae-Wan Lee, Journal of Internet Computing and Services, Vol. 13, No. 1, pp. 65-74, Feb. 2012
10.7472/jksii.2012.13.1.65, Full Text:  HTML
Keywords: Social semantic web, Cloud computing, collaboration system, association rule mining

Abstract

Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

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