| 8.1 |
Business rules management system technology and
terminology |
43 |
| 8.1.1 |
Rules and other forms of knowledge representation |
43 |
| 8.1.1.1 |
Rules and production systems |
45 |
| 8.1.1.2 |
Knowledge and inference |
46 |
| 8.1.1.3 |
Semantic networks |
47 |
| 8.1.2 |
Inference in business rules management
systems |
48 |
| 8.1.2.1 |
Forward, backward and mixed chaining strategies |
48 |
|
Forward chaining |
48 |
|
Backward chaining |
50 |
|
Mixed strategies |
51 |
|
Rete |
51 |
| 8.1.2.2 |
Data mining and rule induction |
52 |
| 8.1.3 |
Techniques for representing rules |
54 |
| 8.1.3.1 |
Decision trees and
decision tables |
54 |
|
Decision trees |
54 |
|
Decision tables |
56 |
| 8.1.4 |
Ontology and Epistemology: the
rôle of object modelling and natural language processing |
57 |
| 8.2 |
Development methods |
59 |
| 8.2.1 |
Knowledge acquisition |
59 |
| 8.2.2 |
System development |
59 |
| 8.3 |
Study method |
61 |
| 8.4 |
Further work |
61 |
| 8.5 |
About TriReme |
62 |
| 8.6 |
About the report author |
62 |
|
|
|
The knowledge management have can be encapsulated by BRMS.
Of course, Business Rules and Database design are often confused....but as our
report makes clear there are important differences.
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