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Oluic-Vukovic, Vesna – Journal of the American Society for Information Science and Technology, 2001
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…
Descriptors: Change, Information Processing, Information Science, Information Systems

Spasser, Mark A. – Journal of the American Society for Information Science, 1999
A new approach to information science, activity theory emphasizes the centrality of practice as doing and activity and foregrounds setting and context as essential orienting concepts. It can provide information science with a rich, unifying, and heuristically valuable vocabulary and conceptual framework that will facilitate the continual…
Descriptors: Computer Science, Development, Information Science, Information Theory

Chen, Hsinchun – Journal of the American Society for Information Science, 1995
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…
Descriptors: Artificial Intelligence, Indexing, Induction, Information Processing

Vickery, Brian – Journal of Documentation, 1997
Introduces new procedures being used to extract knowledge from databases and discusses rationales for developing knowledge discovery methods. Methods are described for such techniques as classification, clustering, and the detection of deviations from pre-established norms. Examines potential uses of knowledge discovery in the information field.…
Descriptors: Classification, Cluster Grouping, Databases, Electronic Text