Data validation and verification is a continuous process. It must occur in a priori analysis before using the data in KMS, during KMS operation to ensue data is still relevant, and after many years of use to ensure that data is not absolute and decide on retention strategy and policies. With complex data the V & V becomes more difficult.
Thanks for the suggestion. I looked at it. Actually, we have to distinguish between knowledge Engineering Systems (KES) -and its application of Expert Systems (ES)- which I used extensively in the undergraduate and graduate courses in ES) for ruled-based systems, and knowledge Management System (KMS), which is more based on tacit knowledge. In order to use Prolog, tacit knowledge must be transferred to explicit knowledge. Otherwise, the use of Prolog will be troublesome. Having said that, a small set of rules could be designed on top of the KMS to resemble a small expert system. Integrating KBS with KMS is in itself an area of concern. If we agree on the existence of the two systems - KES and KMS- then the use of Rrolog is limited at the current state of the KMS. Best,
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Graphs