User Interaction and Response-Based Knowledge Discovery Framework

The World Economic Forum in Davos in 2022 raised the issue of knowledge by describing the situation as follows: “It could be that we are drowning in content, but starved of knowledge and therefore often fail to connect the dots to anticipate change before it becomes mainstream. With over four billion pieces of content being created each day, keeping abreast of all that is happening far exceeds our capacity to do so. The business models of social media organizations and news outlets have been increasingly focused on giving people more of what they like, leading to echo chamber effects and making it easy to lose sight of the big picture [10].” In recent decades a shift to the knowledge society has been acknowledged, characterized by its ability to identify, create, process, transform, disseminate and use information to generate and use knowledge for the development of individuals [2]. In such a society, intellectual capital is considered to be the most important indicator of wealth, ahead of assets. The acquisition, application and creation of knowledge is more important to the knowledge society than the creation and consumption of information. In regards to knowledge society requirements this paper presents a conceptual knowledge discovery framework: User Interaction and Response-based Knowledge Discovery Framework – UIS-KDF. The framework introduces a meta-level approach for knowledge discovery system design principles.