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. 2011:2011:1514-23.
Epub 2011 Oct 22.

Graph-based methods for discovery browsing with semantic predications

Bartłomiej Wilkowski  1 , Marcelo Fiszman, Christopher M Miller, Dimitar Hristovski, Sivaram Arabandi, Graciela Rosemblat, Thomas C Rindflesch
Affiliations

Graph-based methods for discovery browsing with semantic predications

Bartłomiej Wilkowski et al. AMIA Annu Symp Proc. 2011.

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.

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Figures

Figure 1:
Figure 1:
Graph representing the top twenty paths. Numbers on the edges show the number of predication instances.
Figure 2:
Figure 2:
User selected subgraph.
See this image and copyright information in PMC

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References

    1. Swanson DR. Fish oil, Raynaud’s syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine. 1986;30(1):7–18. - PubMed
    1. Swanson DR, Smalheiser NR. An interactive system for finding complementary literatures: a stimulus to scientific discovery. Artificial Intelligence. 1997;91(2):183–203.
    1. Hristovski D, Stare J, Peterlin B, Dzeroski S. Studies in Health Technology and Informatics. IOS Press; 2001. Supporting discovery in medicine by association rule mining in Medline and UMLS; pp. 1344–1348. - PubMed
    1. Weeber M, Kors JA, Mons B. Online tools to support literature-based discovery in the life sciences. Briefings in Bioinformatics. 2005;6(3):277–286. - PubMed
    1. Hristovski D, Friedman C, Rindflesch TC, Peterlin B. Exploiting semantic relations for literature-based discovery. AMIA Annual Symposium Proceedings. 20062006:349–353. - PMC - PubMed

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