Work on acquiring knowledge about science has estimated the cost of encoding knowledge in question answering or problem solving systems at $10,000 per page of relevant textbooks. Regrettably, such estimates are also consistent with the commercial experience of many business rules adopters. The cost of capturing and automating hundreds or thousands of business rules is [...]
Posts Tagged ‘RuleML’
Managing Semantics, Vocabulary and Business Rules as Knowledge
A client recently asked me for guidance in establishing a center of excellence concerning business rules within their organization. Their objectives included: Accumulate requisite skills for productive success. Establish methodologies for productive, reliable and repeatable success. Accumulate and reuse content (e.g., definitions, requirements, regulations, and policies) across implementations, departments or divisions. Establish multiple tutorial and [...]