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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mays, E. Lanka, S. Dionne, B. Weida, R. |
| Copyright Year | 1990 |
| Description | Author affiliation: IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA (Mays, E.; Lanka, S.; Dionne, B.; Weida, R.) |
| Abstract | Techniques for managing problems associated with the scalability of large knowledge-based systems are presented. The discussion is based on experience in building a large knowledge-based system and on perceptions regarding future technological requirements to support ongoing development. Achieving persistence for knowledge bases (KBs) is investigated. Persistence refers to storing a knowledge base on a stable storage medium such as a magnetic disk. A knowledge base management system (KBMS) in which a large KB is concurrently developed by a team of collaborating knowledge engineers is proposed. At the heart of the KBMS is a version store, which is a persistent storage structure for a KB. To support the concurrent collaborative work, the version store maintains multiple versions of a KB such that a knowledge engineer can access and modify any version. Retrieval and updating operations have been defined on the version store to efficiently access and modify any version. Objects in a version store are clustered to support efficient access of an entire version of the KB or subparts of it. The retrieval algorithm has been validated through simulation. A prototype of the version store has been implemented and is being integrated into the user interface.< |
| Starting Page | 169 |
| Ending Page | 175 |
| File Size | 738834 |
| Page Count | 7 |
| File Format | |
| ISBN | 0818620323 |
| DOI | 10.1109/CAIA.1990.89186 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1990-05-05 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge based systems Knowledge management Collaborative work Maintenance engineering Knowledge engineering Scalability Engineering management Heart Clustering algorithms Prototypes |
| Content Type | Text |
| Resource Type | Article |
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