Using Autopoiesis to Redefine Data, Information and Knowledge

The definition of knowledge has always been a contentious issue in knowledge management. Effective knowledge management requires a definition of knowledge that is consistent, useful and true. Whilst most definitions today fulfil the first two criteria, none accurately address all three, including the true, biological nature of knowledge. This is where autopoiesis can help. Autopoiesis was developed to try answer the question of what makes something living, using a scientific methodology. It proposes living things are discrete, self-producing entities and constantly cognising entities. Autopoiesis has long inspired definitions of knowledge, with ideas such as: knowledge cannot be transferred, or knowledge can only be created by the potential ‘knower’. Using the theory of autopoiesis, it is possible to create a biologically grounded model of knowledge, representing the latest thinking in neuroscience. However, before this new, biologically grounded model of knowledge can be integrated into new or existing knowledge management theories, it needs to be tested, else it falls into the trap of being conceptual, and remaining that way. This paper uses the theory of autopoiesis to redefine the concepts of data, information and, most importantly, knowledge, and goes on to develop a model of knowledge that has the potential to be used as a new foundation for knowledge management

Data, Information, and Knowledge in the Context of SILS

Data, information, and knowledge are becoming increasingly common terms in the literature of the software industry. This terminology originated some time ago in the disciplines of cognitive science and artificial intelligence to reference three closely related but distinct concepts. Traditionally, mainstream software engineering has lumped all three concepts together as data and has only recently begun to distinguish between them. Unfortunately, the popular desire to distinguish between data, information, and knowledge within the mainstream has blurred the individual meanings of the words to the point where there is no longer a clear-cut distinction between them for most people. This problem is compounded by the fact that the abstract nature of the associated concepts provides wide latitude for their application. The goal of this paper is to make these abstract concepts more concrete by providing examples of their usage taken directly from the design and implementation of the Shipboard Integration of Logistics Systems (SILS), an ONR project sponsored by Dr. Phillip Abraham. This paper does not claim or intend to provide definitive definitions of these terms; rather it seeks to provide a cognitive framework for thinking about these concepts from which observations and conclusions can be made about the differences and relationships between the individual concepts

The Importance of Data, Information, and Knowledge in Scholarly Communication

Research in scholarly communication, including the role and importance of data and publications, can reveal important insights into how knowledge is formed and transmitted. These insights can be interesting in and of themselves, as answers to fundamental research questions such as how formal communication helps science progress, and they also can help librarians and publishers and researchers create better information systems. This paper is about the intersection of these concepts in the study of scholarly communication with examples from my own research and the work of others that inspired me in formal scholarly publication

The Importance of Data, Information, and Knowledge in Scholarly Communication

Research in scholarly communication, including the role and importance of data and publications, can reveal important insights into how knowledge is formed and transmitted. These insights can be interesting in and of themselves, as answers to fundamental research questions such as how formal communication helps science progress, and they also can help librarians and publishers and researchers create better information systems. This paper is about the intersection of these concepts in the study of scholarly communication with examples from my own research and the work of others that inspired me in formal scholarly publication

The Importance of Data, Information, and Knowledge in Scholarly Communication

Research in scholarly communication, including the role and importance of data and publications, can reveal important insights into how knowledge is formed and transmitted. These insights can be interesting in and of themselves, as answers to fundamental research questions such as how formal communication helps science progress, and they also can help librarians and publishers and researchers create better information systems. This paper is about the intersection of these concepts in the study of scholarly communication with examples from my own research and the work of others that inspired me in formal scholarly publication

The Importance of Data, Information, and Knowledge in Scholarly Communication

Research in scholarly communication, including the role and importance of data and publications, can reveal important insights into how knowledge is formed and transmitted. These insights can be interesting in and of themselves, as answers to fundamental research questions such as how formal communication helps science progress, and they also can help librarians and publishers and researchers create better information systems. This paper is about the intersection of these concepts in the study of scholarly communication with examples from my own research and the work of others that inspired me in formal scholarly publication

Human-Centred Dissemination of Data, Information and Knowledge in Industry 4.0

The manufacturing industry faces immense challenges for maintaining and increasing their productivity and flexibility. In this context, it is important for companies to ensure that their employees have the relevant data, information and knowledge necessary to make well-informed decisions. Due to recent development with Industry 4.0 enabling technologies that create new possibilities, the amount of available data, information and knowledge increase rapidly, but the insights into how to utilize it to its full potential are still lacking. In this paper, a human-centred perspective has been applied, aiming at improving how to cognitively support humans at work with new Industry 4.0 enabling technologies. Heavy emphasis is placed on people’s requirements and preferences of data, information and knowledge for enhancing their performance and satisfaction at work. This paper examines the relationship between existing literature on dissemination of data, information and knowledge within the manufacturing industry with state-of-the-art research on Industry 4.0. The outcome of the research recognizes the increased importance of utilizing data, information and knowledge for people at work, facilitated by exploiting the new possibilities from Industry 4.0. To accomplish this, it is concluded that there exists an urgency to design: both a holistic framework for identifying and accommodating individuals’ needs and expectations of relevant data, information and knowledge; and demonstrators and concepts to simplify the implementation of Industry 4.0 enabling technologies that support the aforementioned dissemination of data, information and knowledge

Data, Information, and Knowledge in Visualization

This article proposes to help advance visualization technology from the interactive visualization of today to the knowledge-assisted visualization of tomorrow by defining data, information and knowledge in the context of visualization