Annotator Web service
To automatically process a piece of data text to annotate it with relevant ontology concepts and return the annotations.
The range of publicly available biomedical data is enormous and continues to rapidly expand. This expansion means that researchers now face a hurdle to extracting the data they need from the large numbers of data that are available. Biomedical researchers have turned to ontologies and terminologies to structure and annotate their data with ontology concepts for better search and retrieval. However, this annotation process cannot be easily automated and often requires expert curators. Plus, there is a lack of easy-to-use systems that facilitate the use of ontologies for annotation. The NCBO Annotator (formerly referred to as the Open Biomedical Annotator (OBA)) is an ontology-based Web service that annotates public datasets with biomedical ontology concepts based on their textual metadata. The biomedical community can use the annotator service to tag their data automatically with ontology concepts. These concepts come from the Unified Medical Language System (UMLS) Metathesaurus and the National Center for Biomedical Ontology (NCBO) BioPortal ontologies. Such annotations facilitate translational discoveries by integrating annotated data.
Please try the NCBO Annotator service in BioPortal.
- Annotator REST Web Service User Guide Annotator User Guide
- Annotator GoogleGroup for discussions on use cases and experiences, e.g. parameters, ontologies, semantic expansion, with the Annotator.
Client Example Code
- Annotator REST Web Service client examples Annotator Client Examples. The sample code includes Java, Perl, Python, Ruby, and R client example code.
How to Cite
- Jonquet C, Shah NH, Musen MA. The open biomedical annotator. Summit on Translat Bioinforma. 2009 Mar 1;2009:56-60. PubMed PMID: 21347171; PubMed Central PMCID: PMC3041576.
Selected Citations using the Annotator
- Integrating text mining into the MGI biocuration workflow. Dowell KG, McAndrews-Hill MS, Hill DP, Drabkin HJ, Blake JA. Database (Oxford). 2009;2009:bap019. Epub 2009 Nov 21. PMID: 20157492 [PubMed] Free article
- Using the NCBO Web Services for Concept Recognition and Ontology Annotation of Expression Datasets Simon Twigger, Joey Geiger, Jennifer Smith. SWAT4LS-2009.
- For questions or feature requests, contact Support
The NCBO Annotator community a variety of academic groups including UCSF, University of Indiana and the Jackson Laboratory that use the NCBO Annotator Web service in various use case scenarios. Internally, we have used the annotation workflow to index biomedical data resources with ontology concepts (cf. Resource_Index).
Learn more about NCBO Annotator users & use cases: NCBO Annotator community
- Scripps Team Demonstrates Feasibility of Unearthing Gene-Disease Links via Bio-Wiki Mashups
- Study Extracts Vioxx Heart-Attack Risk from EMRs, Highlights Shift from Ontology Development to Use
- Stanford University and EMBL Platforms Aim to Give Users a Low-Pain Handle on Ontologies
- Lab Finds Text-Mining Software Can Speed Some Database Curation Tasks
Collaboration & Acknowledgment
- The NCBO Annotator service uses Mgrep in the concept recognition step. We acknowledge the assistance of Manhong Dai and Fan Meng from the National Center for Integrative Biomedical Informatics (NCIBI).
- The user interface for the Annotator client in BioPortal (http://bioportal.bioontology.org/annotate) is designed & developed by NCBO members from University of Victoria
- November 2009 - Second prototype including Mmtx: 
- April 2009 - First production release in BioPortal 2.1
- March 2009 - Prototype user interface has been deployed on the BioPortal staging server.
- October 2008 - The prototype (v1.1) has bee released for testing and evaluation. The prototype is still available but please don't use it anymore: 
- May 2008 - First prototype (v1.0) - Has been removed from servers.