Abstract
The article describes a process of designing software for the aggregation of data (macroeconomic and statistical indicators) from distributed heterogeneous sources and their analysis based on the previously developed ontology of innovation activity and economic potential. The software includes a data aggregation system (supporting the user’s markup process of PDF, HTML, and XLS documents and texts for further automated collection), an ontology automatic replenishment system and a system of semantic search for data subsets according to certain criteria.
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Acknowledgements
This research is supported by RFBR (grant 16-2912965\18).
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Korableva, O.N., Kalimullina, O.V., Mityakova, V.N. (2019). Designing a System for Integration of Macroeconomic and Statistical Data Based on Ontology. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-22868-2_12
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DOI: https://doi.org/10.1007/978-3-030-22868-2_12
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