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Ponencias en congresos:
A Knowledge Engineering Approach to Recognizing and Extracting Sequences of Nucleic Acids from Scientific Literature

Año:2010

Áreas de investigación

Datos

Descripción
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.
Internacional	Si
Nombre congreso	EMBC 2010 - IEEE EMBS Conference
Tipo de participación	960
Lugar del congreso	Buenos Aires, Argentina
Revisores	Si
ISBN o ISSN	978-1-4244-4124-2
DOI
Fecha inicio congreso	31/08/2010
Fecha fin congreso	04/09/2011
Desde la página	1081
Hasta la página	1084
Título de las actas	Merging Medical Humanism and Technology

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