A semantic-based workflow for biomedical literature annotation.

ABSTRACT: Computational annotation of textual information has taken on an important role in knowledge extraction from the biomedical literature, since most of the relevant information from scientific findings is still maintained in text format. In this endeavour, annotation tools can assist in the identification of biomedical concepts and their relationships, providing faster reading and curation processes, with reduced costs. However, the separate usage of distinct annotation systems results in highly heterogeneous data, as it is difficult to efficiently combine and exchange this valuable asset. Moreover, despite the existence of several annotation formats, there is no unified way to integrate miscellaneous annotation outcomes into a reusable, sharable and searchable structure. Taking up this chall

SUBMITTER: Sernadela P 

PROVIDER: S-EPMC5691355 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature