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In cloud computing environment, identifying and making an ontology model to use SaaS application is very important role in order to find the software applications and use their services efficiently. However, recently, the research about ontology model for SaaS lacked. In this research, we proposed an ontology model for SaaS applications in cloud computing environment. In this model, in order to considered their relation between the SaaS applications, we made Topic Map model on the ontology. The Topic was SaaS applications, systems, and servers. In the Topic Model, we defined the Topic relation and matching function with the Topics. Finally, we made Topic Map based ontology model by 4 layers, Topic, Instance, Association and Occurrence.

There are many manufacturing systems in the factory. Furthermore the system engineer or user have to control and manage lots of data for the manufacturing system. There is, therefore, a need for an efficient management method or technique to handle the systems in their factory. The system managers who work in the main office or at a e location far from the factory also need to check the production rate and data of the manufacturing system in the factory. All of them need to manage the system data. Recently, cloud computing was introduced and thus allows a significant alternative to today's manufacturing system perspective. Therefore, this research aims to present a model to manage and share the data for the manufacturing system via the internet. For this purpose, the cloud storage for the manufacturing system in global factory automation was used. The proposed cloud storage model consists of four types of databases and one management server. The model interfaces the data exchange process between the manufacturing systems and each database. Through this model, the system manager, engineer, and user are all able to check and share the manufacturing system's data efficiently via the internet.

Learning system has increased to require various learning materials and very convenient system process for use by students. In the contents, recently, learning system and application with new technology such as cloud computing happens. However, in spite of increasing convenience for system use, many users (students) has no different in e-learning settings and their satisfaction for learning system. In this paper, we propose success model for learning system in cloud computing environment. And we make criteria and suggest what it is important factor in learning system.

E-learning applications and processes include Web-based learning, computer-based learning, virtual classrooms and digital collaboration. Recently, in the system development case, cloud computing has applied for learning system. This research aims to make a model for mobile cloud learning system and its application. In the system, it has three layers; system layer, application layer and user layer.

This paper introduces the Service Personalized Bundling service System (SPBS) which minimizes interferences between the individual services, meets the service conditions and the habits and preferences of individual subscribers, and intelligently controls the mutual relationship between the services. By integrating Calendar service, VoIP service, IM (Instant Messaging) services and streaming services, the SPBS provides the intelligence services based on their different knowledge such as the state and the subscriber's personal service preferences.

Interactive Voice Response (IVR) is an automated telephony that interacts with callers by means of voice and touch tones, gathers information, provides responses in the form of voice, and routes calls to the appropriate recipient. Due to automated attendant, 24-hour operation, etc, IVR systems have been widely used in the field of telebanking, order, reservation, telemarketing, adult entertainment, information services, etc.