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The semantic web and knowledge grids.

Carole Goble1, Robert Stevens1, Sean Bechhofer1

  • 1School of Computer Science, The University of Manchester, Oxford Road, Manchester, UK M13 9PL.

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Summary
This summary is machine-generated.

The Semantic Web and Knowledge Grid offer promising solutions for managing distributed knowledge. Life Science applications can drive the development of these technologies from theoretical concepts to practical tools.

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Area of Science:

  • Computer Science
  • Bioinformatics
  • Knowledge Management

Background:

  • The Semantic Web and Knowledge Grid are emerging technologies for distributed knowledge management.
  • Current implementations are often driven by technological interest rather than practical application.

Purpose of the Study:

  • To explore the potential of Semantic Web and Knowledge Grid technologies in the Life Science domain.
  • To advocate for Life Science applications to guide the practical development of these immature technologies.

Main Methods:

  • Review of early experimental applications in the Life Science community.
  • Analysis of the current state and future needs of knowledge management in Life Sciences.

Main Results:

  • Experimental applications in Life Sciences show promise for Semantic Web and Knowledge Grid.
  • The Life Science community is well-suited to foster the practical development of these technologies.

Conclusions:

  • Life Science needs should steer the development of theory, infrastructure, tools, and content management for Semantic Web and Knowledge Grid.
  • Application-led practicality is crucial for advancing these distributed knowledge management solutions.