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 annotations without compromizing their semantical precision. Our proposal relies mainly on a domain ontology coupled with a conceptual data model.