Construction of biological networks from unstructured information based on a semi-automated curation workflow.

ABSTRACT: Capture and representation of scientific knowledge in a structured format are essential to improve the understanding of biological mechanisms involved in complex diseases. Biological knowledge and knowledge about standardized terminologies are difficult to capture from literature in a usable form. A semi-automated knowledge extraction workflow is presented that was developed to allow users to extract causal and correlative relationships from scientific literature and to transcribe them into the computable and human readable Biological Expression Language (BEL). The workflow combines state-of-the-art linguistic tools for recognition of various entities and extraction of knowledge from literature sources. Unlike most other approaches, the workflow outputs the results to a curation interface

SUBMITTER: Szostak J 

PROVIDER: S-EPMC5630939 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature