Affiliations: Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland
Correspondence:
[*]
Corresponding author. Adrianna Kozierkiewicz, Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland. E-mail: [email protected].
Abstract: Data integration is one of the trending topics in the modern computer science. It is not an uncommon task to deliver a unified perspective on a set of heterogenous data that would serve as a consensus of participating elements. Many computationally expensive solutions can be found in the literature. Moreover, one cannot determine how potential changes applied to inputs of these methods impact their results. In this paper we present a framework of managing evolving data and handling the entailments of the unforeseen alterations of inputs in terms of performing sound data integration in an acceptable time. We base our work on the consensus theory and provide theoretical foundations, an experimental evaluation and a statistical analysis of obtained results.
