Name
Abstract | ||
|---|---|---|
This work takes place in the general context of the construction and validation of a domain expertise. It aims at the cooperation of two kinds of knowledge, heterogeneous by their granularity levels and their formalisms: expert statements represented in the conceptual graph model and experimental data represented in the relational model. We propose to automate two stages: firstly, the generation of an ontology (terminological part of the conceptual graph model) guided both by the relational schema and by the data it contains; secondly, the evaluation of the validity of the expert statements within the experimental data, using annotated conceptual graph patterns. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73681-3_9 | ICCS |
Keywords | Field | DocType |
relational schema,conceptual graphs,terminological part,cooperative formalism,domain expertise,annotated conceptual graph pattern,granularity level,expert statement,experimental data,relational model,conceptual graph model,general context,conceptual graph | Data mining,Mathematical optimization,Conceptual schema,Relational database,Information retrieval,Computer science,Subject-matter expert,Conceptual graph,Relational model,Data model,Domain model,Conceptual model (computer science) | Conference |
Volume | ISSN | Citations |
4604 | 0302-9743 | 3 |
PageRank | References | Authors |
0.40 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rallou Thomopoulos | 1 | 137 | 21.26 |
| Jean-François Baget | 2 | 577 | 35.97 |
| Ollivier Haemmerlé | 3 | 250 | 37.16 |