Data integration is a crucial issue in the environments of heterogeneous data sources. At present, the afore-mentioned heterogeneity is becoming widespread. Based on various data sources, if we want to gain useful information and knowledge, we must solve data integration problems in order to apply appropriate analytical methods to comprehensive and uniform data. Such activity is known as knowledge discovery from the data process. Therefore, approaches to the data integration problem are very interesting and bring us closer to the “age of information”. This paper presents an architecture which implements knowledge discovery from the data process. The solution combines ETL technology and a wrapper layer known from mediated systems. It also provides semantic integration through connection mechanism between data elements. The solution allows for integration of any data sources and implementation of analytical methods in one environment. The proposed environment is verified by applying it to data sources in the foundry industry.
The paper outlines the rules of creating diagnostic tasks scenarios in determining the causes of defects in castings. The paper presents as well the rules of operation of the computer system for data integration based on Extract-Trasform-Load technology, and a description of prototype implementation of this system, also examples of the tests that was carried out.
PL
W pracy naszkicowano zasady tworzenia scenariuszy działań diagnostycznych przy określeniu przyczyn powstawania wad odlewów. Przedstawiono zasady działania informatycznego systemu integracji danych opartego na zastosowaniu technologii Extract-Trasform-Load, oraz opis prototypowej realizacji tego systemu, a także przykłady przeprowadzonych testów.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.