Name
Abstract | ||
|---|---|---|
In most case-based reasoning (CBR) systems there has been little research done on validating new knowledge, specifically on how previous knowledge differs from current knowledge as a result of conceptual change. This paper proposes two methods that enable the domain expert, who is nonexpert in artificial intelligence (AI), to interactively supervise the knowledge validation process in a CBR system, and to enable dynamic updating of the system, to provide the best diagnostic questions. The first method is based on formal concept analysis which involves a graphical representation and comparison of the concepts, and a summary description highlighting the conceptual differences. We propose a dissimilarity metric for measuring the degree of variation between the previous and current concepts when a new case is added to the knowledge base. The second method involves determining unexpected classification-based association rules to form critical questions as the knowledge base gets updated. |
Year | Venue | Keywords |
|---|---|---|
2005 | AAAI | current knowledge,cbr system,previous knowledge,knowledge base,interactive knowledge validation,new knowledge,new case,conceptual change,query refinement,knowledge validation process,current concept,conceptual difference,association rule,case base reasoning |
Field | DocType | ISBN |
Body of knowledge,Subject-matter expert,Computer science,Model-based reasoning,Knowledge-based systems,Artificial intelligence,Knowledge base,Formal concept analysis,Machine learning,Open Knowledge Base Connectivity,Legal expert system | Conference | 1-57735-236-x |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Monica H. Ou | 1 | 15 | 3.65 |
| Geoff A. W. West | 2 | 562 | 82.46 |
| Mihai Lazarescu | 3 | 486 | 53.45 |
| Chris Clay | 4 | 12 | 2.46 |