@article{ BalazinskaDeshpandeEtAl07pervasive,
  abstract = {Harvesting the benefits of a sensor-rich world presents many data management challenges. Recent advances in research and industry aim to address these challenges. With the rapidly increasing number of large-scale sensor network deployments, the vision of a worldwide sensor Web is close to becoming a reality.},
  added-at = {2012-05-30T10:42:42.000+0200},
  author = {Balazinska, Magdalena and Deshpande, Amol and Franklin, Michael J. and Gibbons, Phillip B. and Gray, Jim and Nath, Suman and Hansen, Mark and Liebhold, Michael and Szalay, Alexander and Tao, Vincent},
  biburl = {http://www.bibsonomy.org/bibtex/20b96cfe7a2865d83d787c30eb2f04f0e/flint63},
  doi = {10.1109/MPRV.2007.27},
  file = {IEEE Digital Library:2007/BalazinskaDeshpandeEtAl07pervasive.pdf:PDF},
  groups = {public},
  interhash = {a8aad5f489c62b7e2193d7bd0f9db6f6},
  intrahash = {0b96cfe7a2865d83d787c30eb2f04f0e},
  issn = {1536-1268},
  journal = {IEEE Pervasive Computing},
  keywords = {v1205 ieee paper embedded ai web sensor network data processing recognition},
  number = {2},
  pages = {30--40},
  timestamp = {2009.12.26},
  title = {Data Management in the Worldwide Sensor Web},
  username = {flint63},
  volume = {6},
  year = {2007}
}

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