STI Summit 2011 - Linked services
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The document discusses services and the web of data from an engineering perspective. It proposes that as linked data applications increase in complexity, there will need to be increased reuse of pre-existing solutions and components offered as services. Problem-solving methods research focused on decoupling problem-solving knowledge from domains to enable reuse. Infrastructure is needed to support systematically sharing and finding reusable functionality, including through the use of semantic technologies and problem-solving methods. Challenges include balancing overhead and performance with reuse and genericity.
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STI Summit 2011 - Linked services
- 1. Services and the Web of Data An Engineering Perspective Carlos Pedrinaci, Maria Maleshkova (The Open University) Thursday, 7 July 2011
- 2. Acknowledgements • Dong Liu (OU) • Ning Li (OU) • Jacek Kopecky (OU) • John Domingue (OU) • SOA4All project Thursday, 7 July 2011
- 3. Thursday, 7 July 2011
- 4. From Linked Data to Smart Applications • Linked Data Principles • Simple, clear, well-established • Linked Data Applications • Based on these simple principles and technologies • ... and a bunch of hacks on top Thursday, 7 July 2011
- 5. We need reusable Components The level of complexity and refinement of Linked Data Apps will be proportional to our ability to reuse pre-existing solutions (i.e., components/ functionality) Thursday, 7 July 2011
- 6. How much functionality are we sharing? And reusing? Thursday, 7 July 2011
- 7. ...this will be often offered as a Service For reasons of scale (or control), in the Semantic Web many of these components will have to be offered as services that gather and analyse large quantities of data to provide advanced functionality (or their results) online Thursday, 7 July 2011
- 8. Developing and Models for capturing services Registry for sharing and finding these sharing software Engine for invoking services and providing a linked data interface over these... Thursday, 7 July 2011
- 9. SOA4RE Mashes Linked Data and Web APIs data Finds and Invokes Linked Services on the Fly Modularity and Extensibility as a core built-in feature Thursday, 7 July 2011
- 10. Where are all the Problem Solvers Gone? • Applications require both static and dynamic knowledge • “To build systems that solve real-world tasks, however, we must not only specify our conceptualizations, but also clarify how problem solving ideally will occur.” M. A. Musen Thursday, 7 July 2011
- 11. Abstracting Problem-solving • A pillar of semantic technologies is genericity. Let’s exploit it! • This requires decoupling problem- solving knowledge from the domain • Problem-Solving Methods research focussed precisely on this Thursday, 7 July 2011
- 12. Applying PSMs over Engines based on problem-specific vocabularies domain specific data Used by feeding them with domain-specific data at invocation time Thursday, 7 July 2011
- 13. Suggestion • We need to support the systematic and effective reuse of functionality • We have devised some initial infrastructure to support this process • Decoupling problem-solving knowledge from the domain is essential for further reuse • PSMs research showed us how to do it Thursday, 7 July 2011
- 14. Challenges • Keep the overhead low • Exploit the cloud and other people’s work/services • Performance vs genericity • Full complexity of PSMs needs to be avoided but is also not necessary • Surrounding solid tooling is necessary Thursday, 7 July 2011
- 15. Share your data Thursday, 7 July 2011
- 16. ... and your components! Thursday, 7 July 2011
- 17. “... this can’t work ...” Thursday, 7 July 2011
- 18. Bringing the Big Think to the Small Screen Slide by Tom Gruber, Siri Thursday, 7 July 2011