Using controlled language to query atlas space

Kenneth McLeod, Bill Hill, Christopher Armit, Solomon Adebayo, Richard Baldock, Albert Burger

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

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 languageEnglish
Title of host publicationCEUR Workshop Proceedings
PublisherCEUR-WS
Pages197-198
Number of pages2
Volume1546
Publication statusPublished - 2015
Event8th International Conference on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2015 - Cambridge, United Kingdom
Duration: 7 Dec 201510 Dec 2015

Conference

Conference8th International Conference on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2015
Country/TerritoryUnited Kingdom
CityCambridge
Period7/12/1510/12/15

Keywords / Materials (for Non-textual outputs)

  • Biomed-ical images
  • Biomedical atlases
  • Spatial ontologies
  • Spatial reasoning

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