Semantic Web Dog Food

Presented at: Workshop on Visual Interfaces to the Social and the Semantic Web (VISSW2009)

by Amalia Kallergi, Yun Bei, Fons J. Verbeek

In the life sciences data must be described unambiguously. We apply this principle in our multi-modal bio-imaging database in which images are stored together with comprehensive metadata. We use ontology terms to describe the semantic content of images. Ontologies are obtained from dedicated ontology repositories in the life sciences. For our users, the process of image annotation with ontology terms was proven to be a challenging task. Therefore, we have made improvements on both usability and speed of annotation. We developed search facilities across our ontology collection and implemented a new graphical ontology viewer. This tool allows for both querying and visualizing ontology terms by means of a 2D-graph representation. Our viewer provides a means to collect ontology terms and at the same time familiarizes users with ontologies and their structure. In making these tools available we succeeded in our goals to reduce time and effort for accurate image annotation.

Resource URI on the dog food server: http://data.semanticweb.org/workshop/VISSW/2009/paper/main/2

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