Journal
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
Volume -, Issue -, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/database/bas021
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Funding
- Swiss National Science Foundation [100014-118396/1]
- Novartis Pharma AG, NIBR-IT, Text Mining Services, Basel, Switzerland
- National Institute of Health/National Institute of General Medical Sciences [R24 GM61374]
- National Library of Medicine [HHSN276201000025C]
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The need for efficient text-mining tools that support curation of the biomedical literature is ever increasing. In this article, we describe an experiment aimed at verifying whether a text-mining tool capable of extracting meaningful relationships among domain entities can be successfully integrated into the curation workflow of a major biological database. We evaluate in particular (i) the usability of the system's interface, as perceived by users, and (ii) the correlation of the ranking of interactions, as provided by the text-mining system, with the choices of the curators.
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