Home > Knowledge Engineering > Knowledge Engineering – An Introduction

Knowledge Engineering – An Introduction

In simplest terms, knowledge is the ability of an actor to respond to a body of facts and principles accumulated over a period of time. One way to look at knowledge is as the apogee of the following continuum – data > information > knowledge.

Data=1 unit of fact; information=aggregation of data; knowledge=potential for action on information.

Data and information have intrinsic properties, the quality of knowledge depends on the properties of the agent.

There is no universal definition for knowledge management. At its broadest, KM is the ‘process through which organizations generate value from intellectual and knowledge based assets’. There are two types of knowledge assets –

1. Explicit or formal assets like copyrights, patents, templates, publications, reports, archives, etc.

2. Tacit or informal assets that are rooted in human experience and include personal belief, perspective, and values.

It is important to manage knowledge assets because –

Organizations compete increasingly on the base of knowledge (the only sustainable competitive advantage, according to some). Most of our work is information based (and often immersed in a computing environment). Our products, services, and environment are more complex than ever before. Workforces are increasingly unstable leading to escalating demands for knowledge replacement/acquisition.

KE

Jesu Valiant

Categories: Knowledge Engineering
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