Toward the notion of a knowledge repository for financial risk management

An approach for designing a knowledge repository for risk management is presented. Since varied representations are used to capture the diverse types of knowledge involved in this domain, the atomic knowledge units stored in the repository are considered to be domain model (K) and inference method (M) pairs, or (K,M) pairs, which address subtasks in the domain. Such (K,M) pairs are semantically uniform. Conceptually, this allows one to view the repository as though it were a shared “database” of (K,M) pairs that has two key features. First, it serves stand-alone systems by enabling them to apply stored (K,M) pairs and share the generated results, where the applied pairs can be associated with any subtask that is part of an entire application task. Additionally, it avoids capturing redundant subtask-specific K´s to the maximum possible extent by dynamically deriving them from the deep-principled K´s that it stores