Data, Knowledge & Information in Database and Knowledge-Based Systems

Data, Knowledge & Information in Database and Knowledge-Based Systems

Roger H.L. Chiang (University of Rochester, USA), Terence M. Barron (University of Rochester, USA) and Veda C. Storey (University of Rochester, USA)
Copyright: © 1992 |Pages: 9
DOI: 10.4018/jdm.1992070102
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Abstract

Although the terms “data”, “knowledge”, and “information” are frequently used when referring to information systems, there is neither a clear distinction amongst them, nor a clear way to apply them in the development of database and knowledge-based systems. The objective of this paper is to analyze the current literature on data, knowledge and information, and strive to provide a set of guidelines for distinguishing amongst these terms. These guidelines could be useful to system users and developers to make efficient information resources management and utilization. In order to do so, semiotics is employed as a framework for analyzing existing interpretations of these terms. As a result of the analysis, five prominent features are identified which are then used to discuss data, knowledge, and information.

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