Examines reasons that prompted the current shift from information to knowledge processing, encompassing both social contextualization and the recent technological advance. Discusses knowledge production, viewed as a five-step process. The highly interdisciplinary perspective and the primacy of the user are distinguished as necessary prerequisites…

Designed to minimize information overload in telecommunications systems, the formal model developed in this paper predicts the usefulness of a message based on the available message features, and may be used to rank messages by expected importance or economic worth. The assumptions of binary and two Poisson independent probabilistic distributions…

Presents an overview of artificial-intelligence-based inductive learning techniques and their use in information science research. Three methods are discussed: the connectionist Hopfield network; the symbolic ID3/ID5R; evolution-based genetic algorithms. The knowledge representations and algorithms of these methods are examined in the context of…

Explores similarities between research approaches characterizing different paradigms in information science and different information-processing styles of individual researchers. Proposes a model of the way in which new knowledge is generated, based on these similarities. The model focuses on "research pathologies," and ways in which the…

The General Accounting Office examined the problem of attracting and retaining a high-quality information technology (IT) workforce in federal government agencies. The problem was traced to a longstanding lack of effective leadership and management and lack of a strategic approach to marshaling, managing, and maintaining the human capital needed…