Name
Abstract | ||
|---|---|---|
We study the general question of how knowledge bases can be designed in small domains and scale, importing reference terminologies and taking into account the methodologies and tools available nowadays. For this, we have carried out a case study on a knowledge base oriented to support a diagnosis-aid application in ophthalmology. Our study emphasizes the advantages of extending a knowledge base with a new component that holds both a meta-model representing a very simplified structure of a terminology system and a set of constraints expressed using an axiom language. This set of constraints allows us to check the consistency and coherence of the imported information. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11499220_45 | IWINAC (1) |
Keywords | Field | DocType |
small domain,new component,health care domain,imported information,diagnosis-aid application,knowledge base,terminology system,reference terminology,aligning reference terminology,case study,general question,axiom language,ontologies,meta model,knowledge representation,health care | Computer science,Natural language processing,Artificial intelligence,Knowledge base,Ontology (information science),Body of knowledge,Knowledge representation and reasoning,Information retrieval,Terminology,Domain knowledge,Knowledge-based systems,Machine learning,Open Knowledge Base Connectivity | Conference |
Volume | ISSN | ISBN |
3561 | 0302-9743 | 3-540-26298-9 |
Citations | PageRank | References |
1 | 0.36 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Taboada | 1 | 2 | 1.40 |
| Julio Des | 2 | 27 | 3.50 |
| D. Martínez | 3 | 2 | 1.06 |
| José Mira | 4 | 124 | 9.22 |