Abstract

AbstractThis is the second part of the talk ‘A Framework for BioCuration Workflows’, given by Martin Krallinger from the Spanish National Cancer Research Centre at the 'Text Mining for the BioCuration Workflow' workshop. The first part was held by Gully APC Burns (USC Information Sciences Institute, USA). This presentation covered some of the main general tasks often shared by existing literature biocuration workflows: Identification of relevant articles, identification and normalization of the actual bio-entities, the extraction of the annotation event and the identification of some evidential support (e.g. experimental evidence). Some of the important aspects, bottlenecks and potential text mining approaches were briefly introduced for each general workflow task. This talk provided a short overview of some of the important aspects to integrate text mining systems into a given biocuration workflow and showed how heterogeneous workflows can be even for a relatively straight forward task such as the identification of curation relevant literature. A more detailed example of the biocuration of protein-protein interactions through the workflow followed by the BioGRID database was presented.

Highlights

  • Disambiguation based on context of mention of bio-entity

  • General more linguistic approaches: negation and uncertainty

Read more

Summary

General aspects

Using keyword/pattern searches against PubMed Depends on annotation type/criteria, organism & literature volume. Limited information in abstracts Implicit limitations of Keyword searches Complex information demand: Gene names/ids + Organism Source +

Text Mining
ANNOTATION EVENT IDENTIFICATION TASK
EVIDENTIAL QUALIFIER IDENTIFICATION TASK
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call