Abstract
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 language | English (US) |
---|---|
Title of host publication | Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM |
Publisher | IEEE Computer Society |
Pages | 59-68 |
Number of pages | 10 |
Volume | 2002-January |
ISBN (Print) | 0769516327 |
DOIs | |
State | Published - 2002 |
Event | 14th International Conference on Scientific and Statistical Database Management, SSDBM 2002 - Edinburgh, Scotland, United Kingdom Duration: Jul 24 2002 → Jul 26 2002 |
Other
Other | 14th International Conference on Scientific and Statistical Database Management, SSDBM 2002 |
---|---|
Country | United Kingdom |
City | Edinburgh, Scotland |
Period | 7/24/02 → 7/26/02 |
Keywords
- Biomedical imaging
- Brain
- Computer science
- Humans
- Image databases
- Image retrieval
- Information retrieval
- Nervous system
- Pathology
- Spatial databases
ASJC Scopus subject areas
- Software
- Information Systems