Name
Abstract | ||
|---|---|---|
Knowledge integration is the process of incorporating new information into a body of existing knowledge. It involves determining how new and existing knowledge interact and how existing knowledge should be modified to accommodate the new information. KI is a machine learning program that performs knowledge integration. Through actively investigating the interaction of new information with existing knowledge KI is capable of detecting and exploiting a variety of diverse learning opportunities during a single learning episode. Empirical evaluation suggests that KI provides significant assistance to knowledge engineers while integrating new information into a large knowledge base. |
Year | Venue | Keywords |
|---|---|---|
1996 | AAAI/IAAI, Vol. 1 | existing knowledge,knowledge ki,existing knowledge interact,diverse learning opportunity,large knowledge base,new information,single learning episode,knowledge engineer,knowledge integration,empirical evaluation |
DocType | ISBN | Citations |
Conference | 0-262-51091-X | 2 |
PageRank | References | Authors |
0.57 | 9 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenneth S. Murray | 1 | 78 | 13.86 |