Text Mining Technologies for Database Curation

Fabio Rinaldi

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Paper

Text Mining Technologies for Database Curation

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, 544-548, 2014 , Rome, Italy

Author: Fabio Rinaldi

Affiliation: University of Zurich, Switzerland

Keyword(s): Biomedical Text Mining, Information Extraction, Literature-based Discovery.

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.

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Paper citation in several formats:

Rinaldi, F. (2014). Text Mining Technologies for Database Curation. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - SSTM; ISBN 978-989-758-048-2; ISSN 2184-3228, SciTePress, pages 544-548. DOI: 10.5220/0005174905440548

@conference{sstm14,
author={Fabio Rinaldi.},
title={Text Mining Technologies for Database Curation},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - SSTM},
year={2014},
pages={544-548},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005174905440548},
isbn={978-989-758-048-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2014) - SSTM
TI - Text Mining Technologies for Database Curation
SN - 978-989-758-048-2
IS - 2184-3228
AU - Rinaldi, F.
PY - 2014
SP - 544
EP - 548
DO - 10.5220/0005174905440548
PB - SciTePress