Vassil Milev, Georgi Shipkovenski, D. Valcheva, Teodor Kalushkov, E. Petkov
{"title":"Development and Storage of Data Models Based on Data Building Blocks","authors":"Vassil Milev, Georgi Shipkovenski, D. Valcheva, Teodor Kalushkov, E. Petkov","doi":"10.1109/HORA58378.2023.10156658","DOIUrl":null,"url":null,"abstract":"This paper offers a solution for storing of data models, based on data building blocks. The aim of the developed application is to store conceptual models of data, created from database developers. The stored models of data, described and categorized with data building blocks, can be of substantial help for the developers during creation process of new data models, properly covering the organization's activities. The usage of conceptual models, described with data building blocks can optimize and ease the database design process, as it allows developers to use predefined and optimized building blocks to build their models. This makes the application a helpful tool in creating organizational databases. The results from the work with the application show, that it can be an effective solution for creation and storing various data models.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HORA58378.2023.10156658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper offers a solution for storing of data models, based on data building blocks. The aim of the developed application is to store conceptual models of data, created from database developers. The stored models of data, described and categorized with data building blocks, can be of substantial help for the developers during creation process of new data models, properly covering the organization's activities. The usage of conceptual models, described with data building blocks can optimize and ease the database design process, as it allows developers to use predefined and optimized building blocks to build their models. This makes the application a helpful tool in creating organizational databases. The results from the work with the application show, that it can be an effective solution for creation and storing various data models.