SWAN: a distributed knowledge infrastructure for Alzheimer disease research

Yong Gao, June Kinoshita, Elizabeth Wu, Eric Miller, Ryan Lee, Andy Seaborne, Steve Cayzer, Tim Clark

Research output: Contribution to journalArticlepeer-review

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, 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.
Original languageEnglish
Pages (from-to)222-228
Number of pages7
JournalJournal of Web Semantics
Volume4
Issue number3
Publication statusPublished - 2006

Fingerprint

Dive into the research topics of 'SWAN: a distributed knowledge infrastructure for Alzheimer disease research'. Together they form a unique fingerprint.

Cite this