Author/Editor		Wilkowski, B; Fiszman, M; Miller, CM; Hristovski, D; Arabandi, S; Rosemblat, G; Rindflesch, TC
Title		Graph-based methods for discovery browsing with semantic predications
Type		članek
Source		AMIA Annu Symp Proc
Vol. and No.		Letnik 2011
Publication year		2011
Volume		str. 1514-23
Language		eng
Abstract		We present an extension to literature-based discovery that goes beyond making discoveries to a principled way of navigating through selected aspects of some biomedical domain. The method is a type of discovery browsing that guides the user through the research literature on a specified phenomenon. Poorly understood relationships may be explored through novel points of view, and potentially interesting relationships need not be known ahead of time. In a process of cooperative reciprocity the user iteratively focuses system output, thus controlling the large number of relationships often generated in literature-based discovery systems. The underlying technology exploits SemRep semantic predications represented as a graph of interconnected nodes (predication arguments) and edges (predicates). The system suggests paths in this graph, which represent chains of relationships. The methodology is illustrated with depressive disorder and focuses on the interaction of inflammation, circadian phenomena, and the neurotransmitter norepinephrine. Insight provided may contribute to enhanced understanding of the pathophysiology, treatment, and prevention of this disorder.
Descriptors		INFORMATION STORAGE AND RETRIEVAL DEPRESSIVE DISORDER NOREPINEPHRINE MELATONIN SEROTONIN INFLAMMATION INTERLEUKIN-1 INTERLEUKIN-6 CIRCADIAN RHYTHM MEDLINE