A survey of tools for the validation and verification of knowledge-based systems: 1985–1995
Decision Support Systems - Eighth workshop on the validation and verification of knowledge-based systems
Client/server survival guide (3rd ed.)
Client/server survival guide (3rd ed.)
Artificial Intelligence
Using business rules within a design process of active databases
Journal of Database Management
Knowledge management systems: issues, challenges, and benefits
Communications of the AIS
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Knowledge management systems (KMSs) offer an environment for organizations to manage their information assets (e.g., documents, databases, etc.). Existing KMSs passively employ knowledge by querying a database, showing a document, displaying a Web page, etc. KMSs can be extended to incorporate active components, such as expert systems and business rule systems. Currently, business rules reside in application code and database triggers. A KMS with an embedded expert system using business rules from the organization, combined with the connectivity of a server in a client/server architecture, provides an excellent environment for automating business activities at both local and enterprise levels. The segregation of business rules into the knowledge tier (KT) should lower the cost of development and maintenance, increase accuracy and ensure corporation-wide consistency. In addition, knowledge verification tools are now being developed that will allow the computerization of less structured tasks, enabling another round of increased efficiency through computerization.