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.

Highlights

  • 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

  • SWAN is an attempt to develop a practical, common, semantically-structured, web-compatible framework for scientific discourse using Semantic Web technology [1,2,3] applied to the problems of integrating multimodal scientific discourse, in the search for a cure for Alzheimer disease

  • The major SWAN system use cases are designed to be implemented as part of the existing scientific knowledge ecosystem—which includes scientists, scientific discourse, experiments, data, grant applications, publications, scientific databases, bibliographic databases, scientific ontologies, biomedical research collaborations, and scientific web communities

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Summary

Introduction

The challenge of integrating so much data into testable hypotheses and unified concepts is clearly formidable. SWAN is an attempt to develop a practical, common, semantically-structured, web-compatible framework for scientific discourse using Semantic Web technology [1,2,3] applied to the problems of integrating multimodal scientific discourse, in the search for a cure for Alzheimer disease. SWAN is intended to operate at the individual and community levels, enabling a system of interoperable personal and community knowledge bases. Individuals will use SWAN software as a personal tool to find, filter, and organize information. The same software and the same ontological framework can be used to organize and curate the research of

The system-level use cases
Discussion
Socialization
The SWAN pilot
Conclusion

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