Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1093/database/bas021 | DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION |
Field | DocType | Volume |
Data mining,Revalidation,Information retrieval,Ranking,Computer science,Usability,Biological database,Data curation,PharmGKB,Bioinformatics,Workflow | Journal | 2012 |
ISSN | Citations | PageRank |
1758-0463 | 14 | 0.83 |
References | Authors | |
18 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Rinaldi | 1 | 404 | 36.53 |
| Simon Clematide | 2 | 232 | 27.86 |
| Yael Garten | 3 | 183 | 8.73 |
| Michelle Whirl-Carrillo | 4 | 39 | 4.23 |
| Li Gong | 5 | 35 | 3.34 |
| Joan M Hebert | 6 | 164 | 26.63 |
| Katrin Sangkuhl | 7 | 14 | 1.17 |
| Caroline F Thorn | 8 | 15 | 1.17 |
| Teri E. Klein | 9 | 281 | 78.21 |
| Russ B. Altman | 10 | 2500 | 456.07 |