Text Mining Technologies for Database Curation

Fabio Rinaldi

2014

Abstract

Text mining technologies, coupled with advanced user interfaces, have a great potential in the life sciences, for example supporting the process of database curation. We present a system which has achieved competitive results in several community-organized evaluations of text mining technologies and we discuss how such technologies can be integrated in a curation workflow.

Paper Citation

in Harvard Style

Rinaldi F. (2014). Text Mining Technologies for Database Curation . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2014) ISBN 978-989-758-048-2, pages 544-548. DOI: 10.5220/0005174905440548

in Bibtex Style

@conference{sstm14,
author={Fabio Rinaldi},
title={Text Mining Technologies for Database Curation},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2014)},
year={2014},
pages={544-548},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005174905440548},
isbn={978-989-758-048-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2014)
TI - Text Mining Technologies for Database Curation
SN - 978-989-758-048-2
AU - Rinaldi F.
PY - 2014
SP - 544
EP - 548
DO - 10.5220/0005174905440548