Although knowledge management has been investigated in the context of decision support and expert systems for over a decade, interest in and attention to this topic have exploded recently. But integration of knowledge process design with knowledge system design is strangely missing from the knowledge management literature and practice. The research described in this chapter focuses on knowledge management and system design from three integrated perspectives: 1) reengineering process innovation, 2) expert systems knowledge acquisition and representation, and 3) information systems analysis and design. Through careful analysis and discussion, we integrate these three perspectives in a systematic manner, beginning with analysis and design of the enterprise process of interest, progressively moving into knowledge capture and formalization, and then system design and implementation. Thus, we develop an integrated approach that covers the gamut of design considerations from the enterprise process in the large, through alternative classes of knowledge in the middle, and on to specific systems in the detail. We show how this integrated methodology is more complete than existing developmental approaches and illustrate the use and utility of the approach through a specific enterprise example, which addresses many factors widely considered important in the knowledge management environment. Using the integrated methodology that we develop and illustrate in this article, the reader can see how to identify, select, compose and integrate the many component applications and technologies required for effective knowledge system and process design.
The explosive growth in the generation and collection of data has generated an urgent need for a new generation of techniques and tools that can assist in transforming these data intelligently and automatically into useful knowledge. Knowledge discovery is an emerging multidisciplinary field that attempts to fulfill this need. Knowledge discovery is a large process that includes data selection, cleaning, preprocessing, integration, transformation and reduction, data mining, model selection, evaluation and interpretation, and finally consolidation and use of the extracted knowledge. This paper addresses the issues of data cleaning and integration for knowledge discovery by proposing a systematic approach for resolving semantic conflicts that are encountered during the integration of data from multiple sources. Illustrated with examples derived from military databases, the paper presents a heuristics-based algorithm for identifying and resolving semantic conflicts at different levels of information granularity.
Although knowledge management has been investigated in the context of decision support and expert systems for over a decade, interest in and attention to this topic have exploded recently. But integration of knowledge process design with knowledge system design is strangely missing from the knowledge management literature and practice. The research described in this chapter focuses on knowledge management and system design from three integrated perspectives: 1) reengineering process innovation, 2) expert systems knowledge acquisition and representation, and 3) information systems analysis and design. Through careful analysis and discussion, we integrate these three perspectives in a systematic manner, beginning with analysis and design of the enterprise process of interest, progressively moving into knowledge capture and formalization, and then system design and implementation. Thus, we develop an integrated approach that covers the gamut of design considerations from the enterprise process in the large, through alternative classes of knowledge in the middle, and on to specific systems in the detail. We show how this integrated methodology is more complete than existing developmental approaches and illustrate the use and utility of the approach through a specific enterprise example, which addresses many factors widely considered important in the knowledge management environment. Using the integrated methodology that we develop and illustrate in this chapter, the reader can see how to identify, select, compose and integrate the many component applications and technologies required for effective knowledge system and process design.
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