Architecture for providing knowledge as a service (KaaS), a new paradigm on academic cloud

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[...] The Architecture of providing knowledge as a service on academic cloud Data in the cloud refers to the cloud storage idea, where data is stored somewhere on the Web through abstract APIs with loose schemas and without any constraint of space, availability and scalability. Clients can completely rely on the data cloud and count on loose coupling, as access is not tied to particular access patterns dependent on the use of specific schemas. This loose coupling is similar to the one provided by Triplespace Computing an emerging coordination paradigm combining semantics, tuplespaces and Web Service technology for the persistent publication of knowledge and the coordination of services using that knowledge. [...]

[...] This new paradigm generates knowledge from the cloud system and gives the semantic output to the knowledge end user Software as a service (SaaS) A SaaS application runs entirely in the cloud (that is, on servers at an Internet-accessible service provider). The on-premises client is typically a browser or some other simple client. With respective to the academic cloud software can be developed which provides the application usage relevant to the knowledge Attached services Every on-premises application provides useful functions on its own. [...]

[...] E.g student will get the immediate help on the assignments and practical, as they are performing those exercises by collecting knowledge from system, which converts the information into semantic format, that student can understand Knowledge as a service (KaaS) paradigm The applications of the knowledge-based system are placed on the cloud, so everyone can access it and users need to pay only for the usage only. The Knowledge As A Service Paradigm will include following components. When knowledge system is implemented inside the academic cloud, knowledge can be used as the separate service relevant to the application. [...]

[...] This paper advocates architecture for providing Knowledge As A Service (KaaS) paradigm, which constructs the knowledge with the help of expert system, and such knowledge can be provided to the end user as the service. The can use the knowledge as per the requirements, and pay as per the usage only. The academic cloud aims to provide the various educational services to the direct end users of the teaching field including students. The knowledge extraction and collaboration from the existing system will benefit a lot with cost effectiveness. [...]

[...] The expert system including the intelligent agent should be capable to convert the data received from the end user (Student, Teachers) to knowledge and store it in appropriate form Deploying the academic cloud from knowledge perspective As the academic cloud will cover many institutes, Universities and many disciplines, organizing and monitoring the cloud is a challenging task. Further, for maintaining various levels of knowledge, confidentiality, sharing etc, deployment issues and policies need careful considerations Issues and challenges 4.1 Pay as per you use The KaaS paradigm requires payment for the knowledge service the user gets from the system. [...]