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SWAN: A Distributed Knowledge Infrastructure for Alzheimer Disease Research

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Gao et al. 2006.pdf (554.12 KB)

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2006

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10.1016/j.websem.2006.05.006

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Elsevier
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Gao, Yong, June Kinoshita, Elizabeth Wu, Eric Miller, Ryan Lee, Andy Seaborne, Steve Cayzer, and Timothy William Clark. 2006. SWAN: A distributed knowledge infrastructure for Alzheimer disease research. Journal of Web Semantics 4(3): 222-228.

Abstract

SWAN – a Semantic Web Application in Neuromedicine – is a project to develop an effective, integrated scientific knowledge infrastructure for the Alzheimer disease (AD) research community, using the energy and self-organization of that community, enabled by Semantic Web technology. This infrastructure may later be deployed for research communities in other neuromedical disorders. SWAN incorporates the full biomedical research knowledge lifecycle in its ontological model, including support for personal data organization, hypothesis generation, experimentation, laboratory data organization, and digital pre-publication collaboration. Community, laboratory, and personal digital resources may all be organized and interconnected using SWAN’s common semantic framework.

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Alzheimer disease, biomedical research, knowledge lifecycle, ontology, digital resource

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This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

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http://nrs.harvard.edu/urn-3:HUL.InstRepos:10588036

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