- World of Economics and Management
- Archive
- 2018
- №1
- Microeconomic Analysis: Methods and Results
Methodology for collecting data on innovation activity and its impact on the potential for economic growth based on building ontologies
Olga N. Korableva
1. ITMO University, St. Petersburg, Russian Federation
2. St. Petersburg State University
on.korableva@gmail.com
The material was received by the Editorial Board: 08/07/2017
AbsctractThe economy, as a conceptually diverse area, is a complex system where large volumes of qualitative and quantitative information are often presented in poorly structured or unstructured form. The use of semantic web technologies allows to adjust to a single, flexible structure and to integrate not only quantitative but, what is especially important, qualitative indicators and create conditions for computer processing in the future. Within the framework of the research, a methodology and algorithms for searching for sources and collecting economic data and their reduction to the structure of the established ontology of innovation activity and economic potential have been developed. The relevance and scientific novelty of the study is due to the subject area, as well as the application of semantic web technologies to the collection of information from heterogeneous distributed sources, including weakly structured and unstructured ones.
Keywords:
economy, ontology, methodology of data collection, potential for economic growth, innovative activity, semantic web
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References: Korableva O. N., Mityakova V. N., Kalimullina O. V. Methodology for collecting data on innovation activity and its impact on the potential for economic growth based on building ontologies. World of Economics and Management. 2018. Vol. 18, 1. P. 83–95. DOI: 10.25205/2542-0429-2018-18-1-83-95