Cloud-Based Personal Knowledge Management as a service (PKMaaS)

Abstract

This study tries to give a different perspective of the cloud application through a personal knowledge management perspective and its structure in the cloud computing environment. In recent years, there has been a great hype about cloud computing and different books and literature reviews have classified different types of cloud with various definitions and criteria focusing on mainly three different layers of services being infrastructure, platform and software. Instead, this paper provides a meta-observation over an integrated cloud ecosystem through the knowledge window through which a deeper insight into how the cloud, as an ecosystem, provides services that are not feasible in many conventional knowledge management approaches. Adopting a top-down approach, this study tries to illustrate the implications of the cloud at the personal levels from a knowledge-oriented perspective.

Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments

“…Tsui et al have illustrated implications of the cloud from a knowledge-oriented viewpoint [11]: value added of knowledge management in the clouds lies in nurturing widespread and ad-hoc collaboration, by embracing and connecting together knowledge contents for individual and group learning purposes, with the support of various tools. This view clearly places the individual at the center of the cloud offering, emphasizing on the dimension of personal and collective tackling of information.…”

“…One of the benefits of combining data analytics with the AKAAS framework lies in advanced KM applications, which, beyond creating/updating/ archiving content that is usually accessed through search features, enable to successfully fulfill expectations of current consumers as well as future users. In fact, one of the challenges of knowledge management in cloud computing, and more generally information search, retrieval, evaluation and organization lies in the degree of complexity and sophistication of search engines [11], since in cloud contexts those are not only expected to retrieve the information, but also to advise its relevance and trustworthiness. To support these requirements, we propose that knowledge analytics therefore appear as key for knowledge management processes, and in particular we suggest to assess how organizational and customer knowledge is capitalized or created, broadcasted (shared) and reused by content consumers.…”

“…In that way, analytics may be used to increase the relevancy, quality and timeliness of knowledge that is capture, broadcasted and refined (enriched) in order to cover internal and external customer needs. What is more, K-analytics can also be used to enable information analysis so that cloud users learn, develop and reflect on their knowledge [11]. This is a preliminary step towards an evolution of text-based and multimedia-based content towards active content [3].…”

“…These evolutions would translate into consequent impacts in the field of knowledge management, as the possibilities in terms of availability, scalability, reliability, elasticity and flexibility given by the cloud symbolize opportunities to develop and put in place new ways of delivering knowledge services to customers. Therefore, main aspects of knowledge management in the cloud are oriented towards "new found knowledge, new ways of fostering collaboration and new learning paradigms" [11] thus outpacing numerous of traditional KM systems and knowledge repositories. In fact, cloud computing materializes "the idea of "everything as a Service" [4].…”

“…The cloud infrastructure indeed delivers the potential of having a gigantic amount of devices that are inter-connected, fostering the emergence of brand new applications [3] stimulating the development and availability of innovative solutions and applications. In particular and to achieve this goal, the solution should be accessible from any kind of device or platform used by the consumer, in any location and at anytime, meaning that it is not at the client end that the information is processed, rather at the cloud side [11]. This leads us to suggest few examples of new KM services in cloud-computing contexts, which include the repurposing of content mined from social media (user interactions) and resources into support cases (processes at the services' provider side), which benefits both the organization (the impact on the process of case handling remains minimal) and customers who benefit from interactions on their preferred social channel.…”