A Knowledge Extraction Framework for Biomedical Pathways

In this paper we present a novel knowledge extraction framework that is based on semantic parsing. The semantic information originates in a variety of resources, but one in particular, namely BioFrameNet, is central to the characterization of complex events and processes that form biomedical pathway...

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Detalles Bibliográficos
Autores principales: Harabagiu, Sanda, Bejan, Cosmin Adrian
Formato: Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2010
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041549/
https://www.ncbi.nlm.nih.gov/pubmed/21347132
Descripción
Sumario:In this paper we present a novel knowledge extraction framework that is based on semantic parsing. The semantic information originates in a variety of resources, but one in particular, namely BioFrameNet, is central to the characterization of complex events and processes that form biomedical pathways. The paper discusses the promising results of semantic parsing and explains how these results can be used for capturing complex medical knowledge.

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