TY - GEN

T1 - Elaboration of database for the subject domain of innovation and economic growth potential

AU - Korableva, Olga N.

AU - Kalimullina, Olga V.

AU - Zaytseva, Alexandra A.

AU - Larionov, Andrey I.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Comprehensive analysis and study of the economic growth opportunities and innovations of a country requires a large variety of data, as well as working with diverse information, both quantitative and qualitative. It is therefore necessary to create a comprehensive database of the subject domain for purpose of standardization, integration, and saving of such database in the long run, that will contribute to their widespread use. For the its successful development, one needs to decide which data elements and their attributes should be included, which factors affect the range of database application, as well as what design methods should be used to reflect accurately the specifics of the subject domain. When using the traditional methods of database design, it is difficult to determine all entities and objects, as well as represent complex semantic relations between objects. In this article, authors substantiate the feasibility of creating the required database based on ontology. In this case, all concepts of the database of innovations and its attributes, as well as semantic relations can be clearly and fully represented, and then converted into the Entity-Relationship (ER) model.

AB - Comprehensive analysis and study of the economic growth opportunities and innovations of a country requires a large variety of data, as well as working with diverse information, both quantitative and qualitative. It is therefore necessary to create a comprehensive database of the subject domain for purpose of standardization, integration, and saving of such database in the long run, that will contribute to their widespread use. For the its successful development, one needs to decide which data elements and their attributes should be included, which factors affect the range of database application, as well as what design methods should be used to reflect accurately the specifics of the subject domain. When using the traditional methods of database design, it is difficult to determine all entities and objects, as well as represent complex semantic relations between objects. In this article, authors substantiate the feasibility of creating the required database based on ontology. In this case, all concepts of the database of innovations and its attributes, as well as semantic relations can be clearly and fully represented, and then converted into the Entity-Relationship (ER) model.

KW - Conceptual design

KW - Database

KW - Innovations

KW - Innovative activities

KW - Ontology

KW - Subject domain

UR - http://www.scopus.com/inward/record.url?scp=85060802091&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85060802091

T3 - Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020

SP - 6065

EP - 6073

BT - Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018

A2 - Soliman, Khalid S.

PB - IBIMA

T2 - 31st International Business Information Management Association Conference: Innovation Management and Education Excellence through Vision 2020, IBIMA 2018

Y2 - 25 April 2018 through 26 April 2018

ER -