RESUMEN
In computer science, an ontology is essentially a graph-based knowledge representation in which each node corresponds to a concept and each edge specifies a relation between two concepts. Ontological development in biology can serve as a focus to discuss the challenges and possible research directions for ontologies in visualization. The principle challenges are the dynamic and evolving nature of ontologies, the ever-present issue of scale, the diversity and richness of the relationships in ontologies, and the need to better understand the relationship between ontologies and the data analysis tasks scientists wish to support. Research directions include visualizing ontologies; visualizing semantically or ontologically annotated texts, documents, and corpora; automated generation of visualizations using ontologies; and visualizing ontological context to support search. Although this discussion uses issues of ontologies in biological data visualization as a springboard, these topics are of general relevance to visualization.
Asunto(s)
Ontologías Biológicas , Biología Computacional , Gráficos por Computador , Procesamiento de Imagen Asistido por Computador , SemánticaAsunto(s)
Bacterias/citología , Diamante , Fenómenos Magnéticos , Viabilidad Microbiana , Microscopía/métodosRESUMEN
The self-reconstructing properties of Bessel beams provide healing benefits in highly scattering media.
RESUMEN
Application of single-molecule methods to assay genome-wide mRNA and protein levels in single bacteria provides a systems-level view of their relationship.