This paper addresses the topic of knowledge discovery from data in the context of Arts. In particular, the paper aims to examine the “distant listening” approach to uncover and interpret patterns and rules behind archaeology-inspired music. This approach employs quantitative data mining and graphical visualisation tools to identify and present discovered patterns in music data. […]
The purpose of this paper is to propose a conceptual design of a virtual knowledge space for use by digital humanists. Digital humanists’ work lies at the crossroads of computer science and the humanities (Stanford Humanities Center, 2017). Moving traditional humanistic material into digital forms brings new challenges for scholars of the humanities. The proposed […]
The purpose of this paper is to address the application of knowledge management (KM) in archaeology, an important subdiscipline of the humanities that studies our past through material culture. Archaeologists increasingly deposit documentation and data from their field and laboratory work in digital repositories. Rapidly growing quantities of digital archaeological data require more effective KM […]
The purpose of this paper is to address the role of knowledge management (KM) in the humanities. With rapidly increasing quantities of digital humanities data, there is a growing need for new KM methods for analysing and presenting big data. At the same time, humanities have to tackle the task of interpreting KM interventions on […]
Purpose –The purpose of this study was to empirically examine some common aspects of knowledge and project management. Using the contingency theoretical approach and addressing the current lack of empirical evidence on the issue, the study aimed to investigate the potential mediating role of project complexity in the impact of different types of knowledge assets […]