Name
Abstract | ||
|---|---|---|
The Harland document management system implements a data model in which document (object) structure can be altered by mixin-style multiple inheritance at any time. This kind of structural fluidity has long been supported by knowledge-base management systems, but its use has primarily been in support of reasoning and inference. In this paper, we report our experiences building and supporting several non- trivial applications on top of this data model. Based on these experiences, we argue that structural fluidity is convenient for data-intensive applications other than knowledge-base management. Specifically, we suggest that this flexible data model is a natural fit for the decoupled programming methodology that arises naturally when using enterprise component frameworks. |
Year | Venue | Keywords |
|---|---|---|
2001 | Clinical Orthopaedics and Related Research | data model,multiple inheritance,document management system |
Field | DocType | Volume |
Data mining,Inference,Document management system,Computer science,Software development process,Management system,Data model,Database,Multiple inheritance | Journal | cs.DB/0103 |
Citations | PageRank | References |
0 | 0.34 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul M. Aoki | 1 | 1194 | 264.37 |
| Ian E. Smith | 2 | 761 | 121.26 |
| James D. Thornton | 3 | 1600 | 128.78 |