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Enriching Publications with Structured Digital Abstracts: The Human-Machine Experiment
March 2010
Florian Leitner, Structural Computational Biology Group, Spanish National Cancer Research Centre (CNIO)
Andrew Chatr-aryamontri, Department of Biology, University of Rome Tor Vergata
Arnaud Ceol, Department of Biology, University of Rome Tor Vergata
Martin Krallinger, Structural Computational Biology Group, Spanish National Cancer Research Centre (CNIO)
Luana Licata, Department of Biology, University of Rome Tor Vergata
Lynette Hirschman, The MITRE Corporation
Gianni Cesareni, Department of Biology, University of Rome Tor Vergata
Alfonso Valencia, Structural Computational Biology Group, Spanish National Cancer Research Centre (CNIO)
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. 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.

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