Conceptual modeling principles for crowdsourcing

  • Authors:
  • Roman Lukyanenko;Jeffrey Parsons

  • Affiliations:
  • Memorial University of Newfoundland, St. John, NF, Canada;Memorial University of Newfoundland, St. John, NF, Canada

  • Venue:
  • Proceedings of the 1st international workshop on Multimodal crowd sensing
  • Year:
  • 2012

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Abstract

Traditionally, the research and practice of conceptual modeling assumed all relevant information about a domain could be discovered through user-analyst communication. The increasing ubiquity of crowdsourcing challenges a number of long-held propositions about conceptual modeling. Given significant differences in levels of domain expertise among contributors in crowdsourcing projects, it is often impossible to predict all valid conceptualizations of a domain by potential users. Approaching conceptual modeling in crowdsourcing using traditional principles of modeling is highly constraining. This paper explores fundamental conceptual modeling challenges in crowdsourcing domains. We then use theoretical foundations in philosophy (ontology) to offer potential solutions.