Abstract
Data gathered by organisations have diverse architecture and are based on various data models. Cooperation between organisations often requires data exchanging which, in heterogeneous environment, is not easy task. So, various integrating systems have been proposed to overcome problems concerning data exchange in such diverse systems. The field of data integration has expanded in many directions, including schema matching, record linkage, data fusion, and many more [5, 8]. In this paper various approaches to data integration are discussed and tasks that have to be fulfilled by integrating systems are identified. Because among integrating systems are also those based on ontology, their characteristics are identified. Next, the architecture of proposed system is presented, actions performing by individual modules during the process of queries execution are characterized and the process of designing integrating systems based on the proposed model is described.
The Project has been financed by the Ministry of Science and Higher Education within “Regional Initiative of Excellence” Programme for 2019-2022. Project no.: 021/RID/2018/19. Total financing: 11 897 131,40 PLN.
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Put, D. (2020). Designing Information Integrating Systems Based on Co-shared Ontologies. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1050. Springer, Cham. https://doi.org/10.1007/978-3-030-30440-9_3
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