Name
Abstract | ||
|---|---|---|
Intelligence professionals need to determine quickly and ac- curately the "big picture" that connects disparate data points - i.e. link analysis. These connections can be found by matching the data points with a knowledge base of models encoding activities of interest. In this paper, we propose us- ing a flexible semantic matcher to satisfy this matching re- quirement. |
Year | Venue | Field |
|---|---|---|
2006 | AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection | Computer science,Link analysis,Artificial intelligence,Machine learning,Semantic matching |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Z. Yeh | 1 | 380 | 28.42 |
| Bruce Porter | 2 | 316 | 30.66 |
| Ken Barker | 3 | 834 | 83.23 |