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Mashups for the Web of Things

  • Chapter
Semantic Mashups

Abstract

The Web of Things (WoT) together with mashup-like applications is gaining popularity with the development of the Internet towards a network of interconnected objects, ranging from cars and transportation cargos to electrical appliances. In this chapter we provide a brief architectural overview of technologies which can be used in WoT mashups with emphasis on artificial intelligence technologies such as conceptualization and stream processing. We also look at data sources and existing WoT mashups. In the last part of the chapter we discuss the architecture and implementation of Videk, a prototype mashup for environmental intelligence.

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Notes

  1. 1.

    http://www.opengeospatial.org/ogc/markets_tehcnologies/swe.

  2. 2.

    http://www.opengeospatial.org/standards/sensorml.

  3. 3.

    http://www.opengeospatial.org/standards/om.

  4. 4.

    http://www.w3.org/2003/01/geo/.

  5. 5.

    http://www.geonames.org/.

  6. 6.

    http://www.w3.org/TR/owl-time/.

  7. 7.

    http://sweet.jpl.nasa.gov/.

  8. 8.

    http://www.opengeospatial.org/standards/sos.

  9. 9.

    http://www.opengeospatial.org/standards/sps.

  10. 10.

    http://www.ogcnetwork.net/SAS.

  11. 11.

    http://www.envision-project.eu/ (Scenarios).

  12. 12.

    http://sdf.ndbc.noaa.gov/sos/.

  13. 13.

    http://www.necodp.org/.

  14. 14.

    https://cosm.com/ (former Pachube).

  15. 15.

    http://www.sensorpedia.com/.

  16. 16.

    http://www.nimbits.com/.

  17. 17.

    http://open.sen.se/.

  18. 18.

    http://evrythng.com/.

  19. 19.

    http://sensors.ijs.si/.

  20. 20.

    http://linkeddata.org.

  21. 21.

    http://sensormasher.deri.org/.

  22. 22.

    http://www.sensorpedia.com.

  23. 23.

    http://atom.research.microsoft.com/sensewebv3/sensormap/.

  24. 24.

    http://linkeddata.org/.

  25. 25.

    http://sensors.ijs.si/sl/api/index.html.

  26. 26.

    http://jquery.com.

  27. 27.

    http://sensors.ijs.si.

  28. 28.

    http://research.cyc.com/.

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Acknowledgements

This work was partially supported by the Slovenian Research Agency through the program P2-0016 and project J2-4197, the competence center KC OPCOMM, and the ICT Programme of the EC under PASCAL2 (ICT-NoE-216886), ENVISION (ICT-2009-249120) and PlanetData (ICT-NoE-257641). The authors are also grateful to Envigence d.o.o. for the collaboration on Slovenian sensor deployment.

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Authors and Affiliations

  1. Artificial Intelligence Laboratory, Jožef Stefan Institute (JSI), Jamova 39, 1000, Ljubljana, Slovenia

    Klemen Kenda, Alexandra Moraru, Dunja Mladenić, Blaž Fortuna & Marko Grobelnik

  2. Communication Systems Department, Jožef Stefan Institute (JSI), Jamova 39, 1000, Ljubljana, Slovenia

    Carolina Fortuna

Authors
  1. Klemen Kenda
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  2. Carolina Fortuna
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  3. Alexandra Moraru
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  4. Dunja Mladenić
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  5. Blaž Fortuna
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  6. Marko Grobelnik
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Corresponding author

Correspondence to Klemen Kenda .

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  1. Expo Plaza 12, Hannover, 30539, Niedersachsen, Germany

    Brigitte Endres-Niggemeyer

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Kenda, K., Fortuna, C., Moraru, A., Mladenić, D., Fortuna, B., Grobelnik, M. (2013). Mashups for the Web of Things. In: Endres-Niggemeyer, B. (eds) Semantic Mashups. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36403-7_5

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  • DOI: https://doi.org/10.1007/978-3-642-36403-7_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36402-0

  • Online ISBN: 978-3-642-36403-7

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