Name
Abstract | ||
|---|---|---|
The idea of component reuse in system design is implicit in all material and energy engineering and in particular, in electronic engineering. This panorama is a desideratum for knowledge engineering (KE) where, on the contrary, there is a great diversity of terms without a unique, clear, complete and unequivocal meaning, and where, as a consequence, there is a notorious lack of agreed-upon libraries of reusable components. To contribute to the solution of this problem, this article presents a simple relational model linking knowledge elicitation with implementation. The model is based on the natural language description of the diagnosis tasks, and it looks for recurrent abstractions in the entities and relations (nouns and verbs) that the human expert uses in the causal chain of his/her reasoning (formal implication in the model). Here, the alternative of looking for re-usable components in the higher part of the domain knowledge layer (primitives representing the relational part of the domain model) has been explored, reducing the granularity of the components and allowing for a greater degree of personalisation of the methods. Consequently, instead of a PSM library, a library of relations, roles and entities has come about. As an example. A minimal step in diagnostic decision in the context of the Diagen project is described |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1049/ip-sen:20000894 | Software, IEE Proceedings - |
Keywords | Field | DocType |
knowledge acquisition,knowledge representation,software libraries,Diagen,causal chain,component reuse,diagnosis tasks,diagnostic decision,formal implication,human expert,knowledge edition,knowledge elicitation,knowledge engineering,knowledge reuse,libraries,natural language description,relational approach,reusable components | Knowledge representation and reasoning,Software engineering,Domain knowledge,Computer science,Natural language,Natural language processing,Knowledge engineering,Causal chain,Artificial intelligence,Relational model,Domain model,Knowledge acquisition | Journal |
Volume | Issue | ISSN |
147 | 5 | 1462-5970 |
Citations | PageRank | References |
3 | 0.48 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Mira | 1 | 543 | 71.44 |
| José R. Álvarez | 2 | 487 | 59.45 |
| Rafael Martínez | 3 | 9 | 3.03 |