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Figure 13 | BMC Bioinformatics

Figure 13

From: Computable visually observed phenotype ontological framework for plants

Figure 13

Screenshot of an example semantic search result page. Using the CVOPOF framework, advanced search mechanisms, like the semantic search above, can be constructed. In VPhenoDBS http://phenomicsworld.org, the semantic search feature allows a user to search for relevant phenotype images by querying with a list of semantic terms; in this example, the user is searching for "Medium Lesions" and "Brown Lesions." The images searched are not physically tagged with semantic labels; rather, the framework allows the semantics (via the semantic mapping module) to be converted and searched in the phenotype feature (measurement) space. The result page shows (bottom pane) the top ranked results; (middle pane) information about the currently selected result image including the image itself, any textual metadata, and all semantics with non-zero relevance extracted for this image; and (top right) the distribution of les mutants in the top ranked results.

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