Date

April 2013

Document Type

Dissertation

Degree Name

Ph.D.

Department

Dept. of Biomedical Informatics

Institution

Oregon Health & Science University

Abstract

The emphasis of multilevel modeling techniques in the Neurosciences has led to an increased need for large-scale databases containing neuroscientific data. Despite this, such databases are not being populated at a rate commensurate with their demand amongst Computational Neuroscientists. The reasons for this are common to scientific database curation in general--limitation of resources. Much of Neuroscience's long tradition of research has been documented in computationally inaccessible formats, such as the pdf, making large-scale data extraction laborious and expensive. Here we present three sets of studies designed to construct automated tools for alleviating three bottlenecks in the workflow of a community-curated knowledge base of neuroscience-related information. Virk, the first of these tools, is designed specifically with under-developed knowledge bases in mind, using active learning to allow them to quickly bootstrap their development. Flokka, our second tool, is designed for p

Identifier

doi:10.6083/M4736NX8

School

School of Medicine

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