Name
Title | ||
|---|---|---|
A Methodology for Low-Cost Image Annotation Based on Conceptual Modeling: A Biological Example |
Abstract | ||
|---|---|---|
In the context of data-intensive biology applications the overall annotation costs are rather high since experts generally need to be involved. In some cases it is possible to automate the annotation process. In this paper we propose an approach that consists in building an image database application that enables domain technicians to make annotation swithout compromizing their semantical precision. Our proposal relies mainly on a domain ontology coupled with a conceptual data model. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SITIS.2007.97 | SITIS |
Keywords | Field | DocType |
biological example,domain ontology,annotation process,overall annotation cost,conceptual modeling,image database application,data-intensive biology application,annotation swithout,semantical precision,conceptual data model,low-cost image,domain technician,image annotation,protocols,olfactory,unified modeling language,ontologies,biology,conceptual model,coupling,ontology,pattern,data models | Ontology (information science),Data modeling,Ontology,Conceptual schema,Automatic image annotation,Annotation,Information retrieval,Conceptual model,Computer science,Image retrieval | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arnaud Costa | 1 | 0 | 1.69 |
| Eric Leclercq | 2 | 28 | 15.63 |
| Marinette Savonnet | 3 | 24 | 16.76 |
| Marie-Noëlle Terrasse | 4 | 22 | 9.25 |