TY - GEN

T1 - Innovation activity data processing and aggregation based on ontological modelling

AU - Korableva, Olga N.

AU - Kalimullina, Olga V.

AU - Mityakova, Viktoriya N.

PY - 2018/6/21

Y1 - 2018/6/21

N2 - Innovation capacity building plays a central role in the growth dynamics of successful developing countries. However, no dedicated studies on ontological modeling of economic processes related to innovative activity at macro level were found. The application of semantic web technologies enables a unified, flexible structure and integrates not only quantitative but, more importantly, qualitative indicators and creates conditions for machine processing in the future. This paper presents the rationale for the selected domain modeling method for the subsequent construction of automated search information system; the ontology for innovative activity and economic potential is developed in context of the RF macroeconomics. An approach and search algorithms for economic data sources and data collection were developed under this study and casting data to the ontology structure of innovative activity and economic potential was performed. The relevance and scientific novelty of the study is determined by the problem domain, as well as the application of semantic web technologies to data collection from distributed heterogeneous sources, including those semi-structured and unstructured.

AB - Innovation capacity building plays a central role in the growth dynamics of successful developing countries. However, no dedicated studies on ontological modeling of economic processes related to innovative activity at macro level were found. The application of semantic web technologies enables a unified, flexible structure and integrates not only quantitative but, more importantly, qualitative indicators and creates conditions for machine processing in the future. This paper presents the rationale for the selected domain modeling method for the subsequent construction of automated search information system; the ontology for innovative activity and economic potential is developed in context of the RF macroeconomics. An approach and search algorithms for economic data sources and data collection were developed under this study and casting data to the ontology structure of innovative activity and economic potential was performed. The relevance and scientific novelty of the study is determined by the problem domain, as well as the application of semantic web technologies to data collection from distributed heterogeneous sources, including those semi-structured and unstructured.

KW - Country Economy at Macro Level

KW - Innovative Activity

KW - Ontology

KW - Ontology Modeling

KW - Potential for Economic Growth

KW - Semantic Web Technologies

UR - http://www.scopus.com/inward/record.url?scp=85050078861&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/innovation-activity-data-processing-aggregation-based-ontological-modelling

U2 - 10.1109/INFOMAN.2018.8392659

DO - 10.1109/INFOMAN.2018.8392659

M3 - Conference contribution

AN - SCOPUS:85050078861

SP - 1

EP - 4

BT - 2018 4th International Conference on Information Management, ICIM 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Information Management, ICIM 2018

Y2 - 25 May 2018 through 27 May 2018

ER -