. Kroes, P., Beek, W., & Schlobach, S. Koen Hindriks, K., de Weerdt , M., van Riemsdijk , B., & Warnier, M., editors. DataHives: Triple Store Enhancement Using A Bee Calculus, pages 380–381. 2013.
abstract   bibtex   
The Linked Open Data (LOD) cloud is too big for efficient computation and too heterogeneous for standard materialization techniques to cope with. The purpose of the DataHives system is to solve both of these problems by utilizing swarm intelligence to enhance a curated dataset. The system spawns software agentsthat traverse the LOD cloud looking for extensions to the curated dataset that are relevant and trusted.
@inbook{11d7ed31bd004cd7823f7a011e56354b,
  title     = "DataHives: Triple Store Enhancement Using A Bee Calculus",
  abstract  = "The Linked Open Data (LOD) cloud is too big for efficient computation and too heterogeneous for standard materialization techniques to cope with. The purpose of the DataHives system is to solve both of these problems by utilizing swarm intelligence to enhance a curated dataset. The system spawns software agentsthat traverse the LOD cloud looking for extensions to the curated dataset that are relevant and trusted.",
  author    = "Pepijn Kroes and Wouter Beek and Stefan Schlobach",
  year      = "2013",
  pages     = "380--381",
  editor    = "{Koen Hindriks}, K. and {de Weerdt}, M. and {van Riemsdijk}, B. and M. Warnier",
  booktitle = "Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference",
}

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