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Grid Computing & Semantic Web

Grid Computing & Semantic Web. Grid Computing. Proposed with the idea of electric power grid; Aims at integrating large-scale (global scale) computing resources;. Plug & Play. Grid Computing. Then what computing resources? Computer processors or clusters; Networks; Data storage devices;

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Grid Computing & Semantic Web

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  1. Grid Computing & Semantic Web

  2. Grid Computing • Proposed with the idea of electric power grid; • Aims at integrating large-scale (global scale) computing resources; Plug & Play

  3. Grid Computing Then what computing resources? • Computer processors or clusters; • Networks; • Data storage devices; • Scientific instruments; • Most importantly, they should be reached via Internet.

  4. Why Grid Computing Good things: • The increasing availability of computing resources; • Yet not fully used; • Internet is everywhere.

  5. Why Grid Computing Challenges • Too much data; • Scalable? • Multi-disciplinary collaboration; • Security issues.

  6. A Definition “ The Grid is a software infrastructure that enables flexible, secure, coordinated resource sharing among dynamic collection of individuals, institutions and resources” (Foster, Kesselman and Tuecke 2001)

  7. The Development • From mid 1990s; • Maturing in the 2000s; • The tools, projects, and discussions.

  8. Major Challenges Design widely accepted protocols for • Job status monitoring and execution management; • Data management; • Resource coordination and discovery; • Security (authentication and authorization). Define application programming interfaces (APIs) and Software Development Kits (SDKs)

  9. Grid Application Examples • http://www.globus.org/alliance/projects.php • Faster, more secure and more flexible; • Facilitate collaboration,

  10. GIS Grids • Grid for GIS applications; • A few related projects (GEON, GISolve, LEAD); （http://www.geongrid.org/)

  11. Semantic Web • Proposed to facilitate web-based information sharing; • Aims at automated machine-based information processing;

  12. Why Semantic Web Current web • HTML dominates the web; • Designed for human to digest; • No semantics embedded;

  13. Why Semantics Matter • Semantics: the meaning of data? • Semantic heterogeneity (e.g. naming); • Need formal description?

  14. Again, Why Semantic Web • New generation of WWW; • New representation of www data; • As a global-scale intelligent database; • How? (Enhance HTML by adding semantics)

  15. How to Build A Semantic Web • Use URI (Uniform Resource Identifier); • Similar to URL; • Also with RDF (Resource Description Framework): Three URIs.

  16. An RDF Example • The triples: Creator, title, name; • Formatted so can be processed easily. Source: http://infomesh.net/2001/swintro/

  17. More… • Can use RDF schema to model data; • May need to conduct reasoning tasks; • Web Ontology Language (OWL).

  18. GIS Semantic Web • GIS has similar semantic problems; • The problem of interoperability; • Geospatial ontologies.

  19. The End Thanks!

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