Name
Abstract | ||
|---|---|---|
A systematic form of creative knowledge discovery is outlined, requiring taxonomies to generalise knowledge structures and mappings between taxonomies to find parallels between knowledge structures from different domains. These share many of the features needed to handle uncertainty in the semantic web, and results will be relevant to the URSW community. |
Year | Venue | Keywords |
|---|---|---|
2009 | URSW | fuzzy taxonomy,creative knowledge discovery,uncertainty in semantic web,fuzzy association rules,knowledge discovery |
Field | DocType | Citations |
Data science,Parallels,Knowledge integration,Computer science,Fuzzy logic,Semantic Web,Knowledge extraction,Fuzzy association rules | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Trevor Martin | 1 | 45 | 5.66 |
| Siyao Zheng | 2 | 2 | 1.73 |
| Andrei Majidian | 3 | 25 | 2.98 |