Memorias de investigación
Communications at congresses:
A Knowledge Engineering Approach to Recognizing and Extracting Sequences of Nucleic Acids from Scientific Literature
Year:2010
Research Areas
  • Information technology and adata processing
Information
Abstract
In this paper we present a knowledge engineering approach to automatically recognize and extract genetic sequences from scientific articles. To carry out this task, we use a preliminary recognizer based on a finite state machine to extract all candidate DNA/RNA sequences. The latter are then fed into a knowledge-based system that automatically discards false positives and refines noisy and incorrectly merged sequences. We created the knowledge base by manually analyzing different manuscripts containing genetic sequences. Our approach was evaluated using a test set of 211 full-text articles in PDF format containing 3134 genetic sequences. For such set, we achieved 87.76% precision and 97.70% recall respectively. This method can facilitate different research tasks. These include text mining, information extraction, and information retrieval research dealing with large collections of documents containing genetic sequences.
International
Si
Congress
EMBC 2010 - IEEE EMBS Conference
960
Place
Buenos Aires, Argentina
Reviewers
Si
ISBN/ISSN
978-1-4244-4124-2
Start Date
31/08/2010
End Date
04/09/2011
From page
1081
To page
1084
Merging Medical Humanism and Technology
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB