Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2018 Jul 16;19:268. doi: 10.1186/s12859-018-2247-6

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s). 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

PMC Copyright notice

Fig. 1 — CEDAR OnDemand Workflow. (1) CEDAR OnDemand is installed as a Google Chrome browser extension. When activated by the user (by toggling the icon), the web page in the browser will be analyzed. Users can customize a list of suggested ontologies used by CEDAR OnDemand and any point through a dialogue box with dropdown list (2) An HTML tags detection script identifies the text fields by analyzing the HTML INPUT tags and fetches their labels. Fetched labels are then passed to the NCBO to get the related ontology recommendations. This BioPortal ontology recommendation list is compared to the user suggested ontology list to find the qualified ontologies (3) CEDAR OnDemand associates the qualified ontology list to the detected input fields. Subsequently, NCBO Annotator service is invoked to match field values with the qualified set of ontologies to suggest ontology-based metadata