An Approach towards Semi-automated Biomedical Literature Curation and Enrichment for a Major Biological Database
Document title: An Approach towards Semi-automated Biomedical Literature Curation and Enrichment for a Major Biological Database
Journal: Polibits
Database: PERIÓDICA
System number: 000402969
ISSN: 1870-9044
Authors: 1
2
2
2
2
2
2
Institutions: 1University of Zurich, Institute of Computational Linguistics, Zurich. Suiza
2Universidad Nacional Autónoma de México, Centro de Ciencias Genómicas, Cuernavaca, Morelos. México
Year:
Season: Jul-Dic
Number: 52
Pages: 25-31
Country: México
Language: Inglés
Document type: Artículo
Approach: Analítico
English abstract As part of a large-scale biocuration project, we are developing innovative techniques to process the biomedical literature and extract information relevant to specific biological investigations. Biological experts routinely extract core information from the scientific literature using a manual process known as scientific curation. The aim of our activity is to improve the efficiency of this process by leveraging upon natural language processing technologies in a text mining system. There are two lines of investigation that we pursue: (1) finding information relevant for curation and present it in an adaptive interface, and (2) use sentence-similarity techniques to create interlinks across articles in order to allow a process of knowledge discovery
Disciplines: Ciencias de la computación,
Medicina
Keyword: Inteligencia artificial,
Diagnóstico,
Minería de datos
Keyword: Computer science,
Medicine,
Artificial intelligence,
Diagnosis,
Data mining
Full text: Texto completo (Ver PDF)