Understanding Oracle knowledge engineering

Since the earliest days of business computing, the idea has been to identify well structured activities and automate them.

The first business processes to be automated were well structured redundant tasks such as payroll processing, tasks that take repetitive and well structured components of a system and automate them.

As the decades passed, Information Systems became more sophisticated at capturing and deploying human intelligence within computer systems, and we see these types of systems:

Expert Systems - These online system capture a well structured task and mimic human processing. An example would be Mycin, a system that applies physician intelligence at analyzing blood samples. An expert system makes the decision without the aid of any human intuition.

Decision Support Systems - A DSS is a computerized system that recognizes that human intuition is difficult to quantify and automate. In a DSS the human makes the decision, guided by software that automates the well structured aspects of the problem domain.

The line between an expert system and a decision support system blurs in some cases when what is thought to be an intuitive process is actually a well structured problem with extremely complex decision rules.

To see examples of knowledge engineering and how it can be used for data cleansing follow the link below:

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