Knowledgeinformation

Knowledgeinformation is a conceptual term that describes the integrated relationship between information and knowledge within a system, organization, or individual. It emphasizes that information only becomes meaningful knowledge when interpreted, contextualized, and applied to real problems. Although not a standard scholarly term, knowledgeinformation is used to discuss how data are transformed into knowledge through sensemaking and action.

Data are raw facts and measurements. Information is data organized with structure, context, and relevance. Knowledge emerges when information is interpreted by people or groups, drawing on experience, expertise, and social exchange. Knowledgeinformation focuses on the processes that convert information into usable knowledge, including sensemaking, reflection, interpretation, and decision making.

Transformations from information to knowledge typically involve several stages: collection and processing of data, creation of context and meaning, externalization of tacit understanding into explicit knowledge, and internalization of generalized lessons into new capabilities. The SECI model (socialization, externalization, combination, internalization) is one framework often cited to describe these dynamics, though other models exist.

Technologies such as information management systems, knowledge management practices, and artificial intelligence assist in capturing, organizing, and disseminating information in ways that support knowledge creation. Decision support systems, collaboration platforms, and learning analytics help individuals and organizations turn information into actionable knowledge.

Applications of knowledgeinformation span business, science, education, and public policy, where improving the conversion of information into knowledge can enhance learning, innovation, and decision quality. Challenges include tacit knowledge transfer, context dependence, information overload, and the difficulty of measuring knowledge outcomes.