Abstract
Specifying regions of interest to search 3D anatomical space can be difficult. Ontology-based queries are often imprecise and return extra (unwanted) data. Drawing regions of interest in graphical 3D representations of a model organism in principle allows for high precision, but user interfaces can be awkward to use and time consuming. In this poster we promote the use of spatial descriptions as an alternative approach. Spatial descriptions take advantage of existing ontological spatial information, such as in anatomy ontologies and spatial relations ontologies, e.g. BSPO, on the one side and the spatial information embedded in voxel-based representations of anatomy and other spatio-temporal data, e.g. in-situ gene expression patterns, on the other.
Original language | English |
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Title of host publication | CEUR Workshop Proceedings |
Publisher | CEUR-WS |
Pages | 197-198 |
Number of pages | 2 |
Volume | 1546 |
Publication status | Published - 2015 |
Event | 8th International Conference on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2015 - Cambridge, United Kingdom Duration: 7 Dec 2015 → 10 Dec 2015 |
Conference
Conference | 8th International Conference on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2015 |
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Country/Territory | United Kingdom |
City | Cambridge |
Period | 7/12/15 → 10/12/15 |
Keywords / Materials (for Non-textual outputs)
- Biomed-ical images
- Biomedical atlases
- Spatial ontologies
- Spatial reasoning