Open semantic annotation of scientific publications using DOMEO
Journal of biomedical semantics, 2012•Springer
Background Our group has developed a useful shared software framework for performing,
versioning, sharing and viewing Web annotations of a number of kinds, using an open
representation model. Methods The Domeo Annotation Tool was developed in tandem with
this open model, the Annotation Ontology (AO). Development of both the Annotation
Framework and the open model was driven by requirements of several different types of
alpha users, including bench scientists and biomedical curators from university research …
versioning, sharing and viewing Web annotations of a number of kinds, using an open
representation model. Methods The Domeo Annotation Tool was developed in tandem with
this open model, the Annotation Ontology (AO). Development of both the Annotation
Framework and the open model was driven by requirements of several different types of
alpha users, including bench scientists and biomedical curators from university research …
Background
Our group has developed a useful shared software framework for performing, versioning, sharing and viewing Web annotations of a number of kinds, using an open representation model.
Methods
The Domeo Annotation Tool was developed in tandem with this open model, the Annotation Ontology (AO). Development of both the Annotation Framework and the open model was driven by requirements of several different types of alpha users, including bench scientists and biomedical curators from university research labs, online scientific communities, publishing and pharmaceutical companies.
Several use cases were incrementally implemented by the toolkit. These use cases in biomedical communications include personal note-taking, group document annotation, semantic tagging, claim-evidence-context extraction, reagent tagging, and curation of textmining results from entity extraction algorithms.
Results
We report on the Domeo user interface here. Domeo has been deployed in beta release as part of the NIH Neuroscience Information Framework (NIF, http://www.neuinfo.org ) and is scheduled for production deployment in the NIF’s next full release.
Future papers will describe other aspects of this work in detail, including Annotation Framework Services and components for integrating with external textmining services, such as the NCBO Annotator web service, and with other textmining applications using the Apache UIMA framework.
Springer
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