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Applications

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Sentic Computing

Part of the book series: SpringerBriefs in Cognitive Computation ((BRIEFSCC,volume 2))

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Abstract

The amount of data available on the Web is growing exponentially. These data, however, are mainly in an unstructured format and, hence, not machine-processable and machine-interpretable. What is called collective intelligence today is actually just collected intelligence as the value of user contributions is simply in their being collected together and aggregated into community or domain specific sites. True collective intelligence can emerge if the data collected from all those people is aggregated and recombined to create new knowledge and new ways of learning that individual humans cannot do by themselves.

Knowing is not enough; we must apply.Willing is not enough; we must do.Johann Wolfgang von Goethe.

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Notes

  1. 1.

    http://wordnik.com

  2. 2.

    http://viralblog.com/research/youtube-statistics

  3. 3.

    http://w3.org/TR/mediaont-10

  4. 4.

    http://www.foaf-project.org

  5. 5.

    http://simile-widgets.org/exhibit

  6. 6.

    http://kelkoo.co.uk

  7. 7.

    http://openrdf.org

  8. 8.

    http://google.com/images

  9. 9.

    http://images.search.yahoo.com

  10. 10.

    http://bing.com/images

  11. 11.

    http://pythonware.com/products/pil

  12. 12.

    http://python.org

  13. 13.

    http://picasa.google.com/

  14. 14.

    http://humaine-db.sspnet.eu

  15. 15.

    http://wefeelfine.org

  16. 16.

    http://moodviews.com

  17. 17.

    http://moodstats.com

  18. 18.

    http://moodstream.gettyimages.com

  19. 19.

    http://stereomood.com

  20. 20.

    http://jinni.com

  21. 21.

    http://fotosearch.com

  22. 22.

    http://www.nhs.uk

  23. 23.

    www.bbc.co.uk/programmes/b00rfqfm

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Cambria, E., Hussain, A. (2012). Applications. In: Sentic Computing. SpringerBriefs in Cognitive Computation, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5070-8_5

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