| subject | predicate | object | context |
|---|---|---|---|
| dot.kom | organization | dot.kom | |
| dot.kom | organization | dot.kom | |
| dot.kom | organization | dot.kom | |
| dot.kom | organization | dot.kom | |
| dot.kom | organization | dot.kom | |
| dot.kom | organization | dot.kom | |
| dot.kom | endDate | 2005-03-31 | |
| dot.kom | hasPrincipalInvestigator | 2482a533b100c51b082644502f2b86e0 | |
| dot.kom | startDate | 2002-10-01 | |
| dot.kom | type | Project | |
| dot.kom | comment | Designing adaptive infOrmation exTraction from text for KnOwledge Management | |
| dot.kom | label | DOT.KOM | |
| dot.kom | depiction | dotkom.gif | |
| dot.kom | homepage | dotkom | |
| dot.kom | name | DOT.KOM | |
| dot.kom | page | dot.kom | |
| dot.kom | Description | DotKom aims to support knowledge management within large corporation through a combination of information extraction and knowledge management technologies. A current problem with both of these technologies is that they are hard-to-use and require extensive expertise. DotKom will provide user-friendly *adaptive* information extraction tools which give instantaneous feedback on the current status of the information extraction learning process and the automatically constructed knowledge acquisition mechanisms. | |
| dot.kom | in dataset | kmifoaf |
