SWAN: A distributed knowledge infrastructure for Alzheimer disease research

Authors:
Yong Gao;June Kinoshita;Elizabeth Wu;Eric Miller;Ryan Lee;Andy Seaborne;Steve Cayzer;Tim Clark
Affiliations:
MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA 02129, USA;Alzheimer Research Forum1,1www.alzforum.org. MA, USA;Alzheimer Research Forum1,1www.alzforum.org. MA, USA;Massachusetts Institute of Technology, Cambridge, MA 02139, USA;Massachusetts Institute of Technology, Cambridge, MA 02139, USA;Hewlett-Packard Laboratories, Bristol BS34 8QZ, UK;Hewlett-Packard Laboratories, Bristol BS34 8QZ, UK;MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA 02129, USA and Initiative in Innovative Computing, Harvard University, Cambridge, MA 02138, USA
Venue:
Web Semantics: Science, Services and Agents on the World Wide Web
Year:
2006

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Abstract

SWAN - a Semantic Web Application in Neuromedicine - is a project to develop an effective, integrated scientific knowledge infrastructure for Alzheimer Disease (AD) researchers, enabled by Semantic Web technology and deployed on Alzforum (www.alzforum.org), a scientific web community for AD research. 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, lab 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.