Designing a System for Integration of Macroeconomic and Statistical Data Based on Ontology

Olga N. Korableva, Olga V. Kalimullina, Viktoriya N. Mityakova

Research outputpeer-review

19 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationIntelligent Computing Proceedings of the 2019 Computing Conference
Subtitle of host publicationProceedings of the 2019 Computing Conference
EditorsKohei Arai, Rahul Bhatia, Supriya Kapoor
PublisherSpringer
Pages157-165
Volume2
ISBN (Print)9783030228675
DOIs
Publication statusPublished - 2019
EventComputing Conference, 2019 - London
Duration: 16 Jul 201917 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume998
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceComputing Conference, 2019
CountryUnited Kingdom
CityLondon
Period16/07/1917/07/19

Fingerprint

Ontology
Agglomeration
HTML
Innovation
Semantics
Economics

Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Korableva, O. N., Kalimullina, O. V., & Mityakova, V. N. (2019). Designing a System for Integration of Macroeconomic and Statistical Data Based on Ontology. In K. Arai, R. Bhatia, & S. Kapoor (Eds.), Intelligent Computing Proceedings of the 2019 Computing Conference: Proceedings of the 2019 Computing Conference (Vol. 2, pp. 157-165). (Advances in Intelligent Systems and Computing; Vol. 998). Springer. https://doi.org/10.1007/978-3-030-22868-2_12
Korableva, Olga N. ; Kalimullina, Olga V. ; Mityakova, Viktoriya N. / Designing a System for Integration of Macroeconomic and Statistical Data Based on Ontology. Intelligent Computing Proceedings of the 2019 Computing Conference: Proceedings of the 2019 Computing Conference. editor / Kohei Arai ; Rahul Bhatia ; Supriya Kapoor. Vol. 2 Springer, 2019. pp. 157-165 (Advances in Intelligent Systems and Computing).
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Korableva, ON, Kalimullina, OV & Mityakova, VN 2019, Designing a System for Integration of Macroeconomic and Statistical Data Based on Ontology. in K Arai, R Bhatia & S Kapoor (eds), Intelligent Computing Proceedings of the 2019 Computing Conference: Proceedings of the 2019 Computing Conference. vol. 2, Advances in Intelligent Systems and Computing, vol. 998, Springer, pp. 157-165, London, 16/07/19. https://doi.org/10.1007/978-3-030-22868-2_12

Designing a System for Integration of Macroeconomic and Statistical Data Based on Ontology. / Korableva, Olga N.; Kalimullina, Olga V.; Mityakova, Viktoriya N.

Intelligent Computing Proceedings of the 2019 Computing Conference: Proceedings of the 2019 Computing Conference. ed. / Kohei Arai; Rahul Bhatia; Supriya Kapoor. Vol. 2 Springer, 2019. p. 157-165 (Advances in Intelligent Systems and Computing; Vol. 998).

Research outputpeer-review

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Korableva ON, Kalimullina OV, Mityakova VN. Designing a System for Integration of Macroeconomic and Statistical Data Based on Ontology. In Arai K, Bhatia R, Kapoor S, editors, Intelligent Computing Proceedings of the 2019 Computing Conference: Proceedings of the 2019 Computing Conference. Vol. 2. Springer. 2019. p. 157-165. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-22868-2_12