A knowledge extraction framework for biomedical pathways.
Year: 2010
Type: article
Abstract: 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.
Source: PubMed Central
Authors: Sanda Harabagiu, Cosmin Adrian Bejan
Institution: The University of Texas at Dallas
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1833176414