Annotating scientific images: A concept-based approach

M. Gertz, K. U. Sattler, Fredric A Gorin, M. Hogarth, J. Stone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations


Data annotations are an important kind of metadata that occur in the form of externally assigned descriptions of particular features in Web accessible documents. Such metadata are eventually used in data retrieval tasks on heterogeneous, possible distributed Web-accessible documents. In this paper, we present the model and realization of an annotation framework that scientists can employ to semantically enrich different types of documents, primarily scientific images made available through an image repository. Although we employ ontology like structures, called concepts, for metadata schemes used in annotations, our primary focus is on how concepts are actually used to annotate images and regions of interest, respectively, that exhibit features of interest to a researcher. It turns out that the combined consideration of domain specific concepts and annotated regions in images provides interesting means to analyze the usage of metadata regarding certain correctness and plausibility criteria. We detail our annotation management framework in the context of the Human Brain Project in which Neuroscientists record their observations on specific brain structures, and share and exchange information through concept-based annotations associated with images.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
PublisherIEEE Computer Society
Number of pages10
ISBN (Print)0769516327
StatePublished - 2002
Event14th International Conference on Scientific and Statistical Database Management, SSDBM 2002 - Edinburgh, Scotland, United Kingdom
Duration: Jul 24 2002Jul 26 2002


Other14th International Conference on Scientific and Statistical Database Management, SSDBM 2002
Country/TerritoryUnited Kingdom
CityEdinburgh, Scotland


  • Biomedical imaging
  • Brain
  • Computer science
  • Humans
  • Image databases
  • Image retrieval
  • Information retrieval
  • Nervous system
  • Pathology
  • Spatial databases

ASJC Scopus subject areas

  • Software
  • Information Systems


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