By ontology, we understand a knowledge structure which well reflects the complexity of a
real world. Ontologies are built to store and process knowledge about objects and …

Referencing knowledge generated from large collectives is a common approach to solving
certain problems. Because determining the consensus of large collectives can be time …

A federated data warehouse is a tool that provides an end-user a unified perspective on a
finite set of independent data warehouses. This requires creating a global schema from …

Integration of big collections of data is time and cost consuming process. It can be beneficial
when the knowledge is distributed in different sources, or not–when different sources …

The possibility of connecting billions of people around the world through network is the main
characteristic of cyber‐physical systems production. To date, social web, virtual …

Recently, data integration has attracted increasing interest from different research domains.
In most situations, data integration systems are provided for users to access homogeneous …

The following paper investigates a multilevel approach to data integration using the widely
accepted Consensus Theory. We focus on an issue related to an initial classification of raw …

The previous authors' research showed that it is not only possible, but also profitable to
estimate a potential growth of a level of knowledge that appears during an integration of …

The use of consensus determination to solve problems is becoming increasingly common.
The consensus determination of collectives, in particular, large collectives, is frequently …

The task of processing large sets of data which are stored in distributed sources is still a big
problem. The determination of a one, consistent version of data could be very time-and cost …