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Lightweight predicate extraction for patient-level cancer information and ontology development

Abstract Background Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of ontologies. We focus towards the development of ontolo...

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Principais autores: Muhammad Amith, Hsing-Yi Song, Yaoyun Zhang, Hua Xu, Cui Tao
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2017-07-01
coleção:BMC Medical Informatics and Decision Making
Assuntos:
Semi-automated ontology development
Public health
Natural language processing
Open information extraction
Ontology learning
Acesso em linha:http://link.springer.com/article/10.1186/s12911-017-0465-x
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