Knowledge acquisition includes the elicitation, collection, analysis, modeling and validation of knowledge for knowledge engineering and knowledge management projects.
Issues in Knowledge Acquisition
Some of the most important issues in knowledge acquisition are as follows:Issues in Knowledge Acquisition
• Most knowledge is in the heads of experts
• Experts have vast amounts of knowledge
• Experts have a lot of tacit knowledge
o They don't know all that they know and use
o Tacit knowledge is hard (impossible) to describe
• Experts are very busy and valuable people
• Each expert doesn't know everything
• Knowledge has a "shelf life"
Requirements for KA Techniques
Because of these issues, techniques are required which:
• Take experts off the job for short time periods
• Allow non-experts to understand the knowledge
• Focus on the essential knowledge
• Can capture tacit knowledge
• Allow knowledge to be collated from different experts
• Allow knowledge to be validated and maintained
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1 comment:
Yes, these are very insightful truths about knowledge and how dynamic it is,however, most knowledge stems from other empiracle data.
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