Enriching Publications with Structured Digital Abstracts: the human-machine experiment

Abstract

A majority of articles in the biological domain report relationships between biological entities, such as genes, proteins, or metabolites. Computational Biology and especially Systems Biology utilize this information to establish biological networks, providing a holistic view of cell organization and function [1, 2]. While recent progress in experimental technologies has resulted in an exponential growth of published information, the process of extracting this information and converting it into structured database entries is lagging behind because of the intrinsic difficulties and slow pace of the human-based curation process [3].

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
AD1108345

Entities

People

  • Andrew Chatr-aryamontri
  • Arnaud Ceol
  • Florian Leitner
  • Martin Krallinger

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Classification
  • Computational Biology
  • Control Systems
  • Corporations
  • Databases
  • Identification
  • Identification Systems
  • Network Protocols
  • Precision
  • Standards
  • Systems Biology
  • Test And Evaluation
  • Test Sets
  • Text Mining
  • Web Service

Fields of Study

  • Biology

Readers

  • Distributed Systems and Data Platform Development
  • Library and Information Science
  • Systems Analysis and Design