Name
Abstract | ||
|---|---|---|
We report on our experience in developing a query-answering system that integrates multiple knowledge sources. The system is based on a novel architecture for combining knowledge sources in which the sources can produce new subgoals as well as ground facts in the search for answers to existing subgoals. The system uses a query planner that takes into account different query-processing capabilities of individual sources and augments them gracefully. A reusable ontology provides a mediated schema that serves as the basis for integration. We have evaluated the system on a suite of test queries in a realistic application to verify the practicality of our approach. |
Year | Venue | Keywords |
|---|---|---|
2006 | AAAI | novel architecture,multiple knowledge source,calo query manager,account different query-processing capability,query-answering system,query planner,mediated schema,ground fact,individual source,knowledge source,new subgoals |
Field | DocType | Citations |
Query optimization,Web search query,Data mining,Ontology,Query expansion,Suite,Computer science,Planner,Web query classification,Schema (psychology),Database | Conference | 4 |
PageRank | References | Authors |
0.49 | 4 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Luis Ambite | 1 | 958 | 110.89 |
| Vinay K. Chaudhri | 2 | 587 | 246.49 |
| Richard E. Fikes | 3 | 4061 | 2351.97 |
| Jessica Jenkins | 4 | 21 | 3.13 |
| Sunil Mishra | 5 | 162 | 13.01 |
| Maria Muslea | 6 | 221 | 20.68 |
| Tomás E. Uribe | 7 | 567 | 49.66 |
| Guizhen Yang | 8 | 405 | 51.01 |