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Crowd Computing Framework for Geoinformation Tasks

  • Alexander Smirnov
  • Andrew Ponomarev
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

In the paper a general purpose crowd computing framework architecture is discussed. The proposed framework can be used to compose crowd computing workflows of different complexity. Its prominent features include ontological description of crowd members’ competencies profiles; automatic assignment of tasks to crowd members; the support of both human and non-human computing units (hybrid crowd); and spatial features of crowd members which make way for employing the proposed framework for a variety of crowdsourced geoinformation tasks.

Keywords

Crowd computing Crowdsourcing Ontology Profiling 

Notes

Acknowledgments

The research was supported partly by projects funded by grants # 13-07-00271, # 14-07-00345 of the Russian Foundation for Basic Research, and by Government of Russian Federation, Grant 074-U01.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.St.Petersburg Institute for Informatics and Automation of the Russian Academy of SciencesSt.PetersburgRussia
  2. 2.ITMO UniversitySt.PetersburgRussia

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