Using ODIN for a PharmGKB revalidation experiment | Zendy

Fabio Rinaldi | Zendy; Simon Clematide | Zendy; Yael Garten | Zendy; Michelle WhirlCarrillo | Zendy; LiHua Gong | Zendy; Joan M. Hebert | Zendy; Katrin Sangkuhl | Zendy; Caroline F. Thorn | Zendy; Teri E. Klein | Zendy; Russ B. Altman | Zendy

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Using ODIN for a PharmGKB revalidation experiment

Author(s) -

Fabio Rinaldi,

Simon Clematide,

Yael Garten,

Michelle WhirlCarrillo,

LiHua Gong,

Joan M. Hebert,

Katrin Sangkuhl,

Caroline F. Thorn,

Teri E. Klein,

Russ B. Altman

Publication year - 2012

Publication title -

database

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.406

H-Index - 62

ISSN - 1758-0463

DOI - 10.1093/database/bas021

Subject(s) - usability , computer science , workflow , ranking (information retrieval) , data curation , information retrieval , domain (mathematical analysis) , interface (matter) , world wide web , data science , human–computer interaction , database , mathematical analysis , mathematics , bubble , maximum bubble pressure method , parallel computing

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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