Name
Abstract | ||
|---|---|---|
In order to reduce the complexity of large knowledge-based systems and promote re- usability, means for decomposing them to smaller chunks are required. MIKE, our knowledge engineering framework, provides three basic means for structuring which are described in this paper: different kinds of knowledge are separated at different knowledge layers, knowledge layers can be structured by modules, and knowledge within modules is expressed in terms of an object-centred data model. In addition, ideas from entity relationship model clustering are adapted and extended to facilitate the understandability of domain knowledge and support the formation of modules. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1007/3-540-58435-8_215 | DEXA |
Keywords | Field | DocType |
knowledge-based systems,domain knowledge,knowledge based system,data model,entity relationship model,knowledge engineering | Body of knowledge,Data mining,Domain knowledge,Computer science,Knowledge-based systems,Knowledge engineering,Knowledge extraction,Knowledge base,Entity–relationship model,Software mining | Conference |
ISBN | Citations | PageRank |
3-540-58435-8 | 3 | 0.65 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dieter Landes | 1 | 159 | 28.78 |
| Rudi Studer | 2 | 4687 | 659.43 |