Assessing the Influence of Conflict Profile Properties on the Quality of Consensus

  • Adrianna Kozierkiewicz
  • Marcin PietranikEmail author
  • Mateusz Sitarczyk
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12033)


Asserting a high quality of data integration results frequently involves broadening a number of merged data sources. But does more always mean more? In this paper we apply a consensus theory, originating from the collective intelligence field, and investigate which parameters describing a collective affects the quality of its consensus, which can be treated as an output of the data integration, most prominently. Eventually, we identified, either analytically or experimentally, adjusting which properties of the conflict profile (input data) asserts exceeding expected integration quality. In other words-which properties have the biggest influence and which are insignificant.


Consensus theory Collective intelligence Knowledge management Data integration 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Computer Science and ManagementWroclaw University of Science and TechnologyWroclawPoland

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