Name
Abstract | ||
|---|---|---|
The process of integrating the schemas of several databases into an integrated schema is not easy, due to semantic heterogeneities. We present a method/sup 1/ to detect class similarities by following a strategy and applying comparison criteria, that exploits the semantically rich structures of the schemas (previously enriched), along both the generalization/specialization and the aggregation dimensions. Relaxations may be applied to conform a pair of classes, resulting in penalizations in the computation of the degree of similarity. Our approach needs less comparisons than methods based on attribute comparison. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICDE.1995.380363 | Taipei |
Keywords | Field | DocType |
aggregation dimension,class similarity,comparison criterion,semantically rich structure,attribute comparison,integrated schema,schema integration methodology,data models,operating systems,data structures,databases,context modeling,phase detection,generalization,open systems,distributed databases | Data structure,Data mining,Degree of similarity,Computer science,Exploit,Theoretical computer science,Distributed database,Open system (systems theory),Schema (psychology),Database,Computation | Conference |
ISSN | ISBN | Citations |
1063-6382 | 0-8186-6910-1 | 29 |
PageRank | References | Authors |
18.63 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel García-solaco | 1 | 112 | 53.78 |
| Fèlix Saltor | 2 | 455 | 159.30 |
| Malú Castellanos | 3 | 351 | 74.33 |