{"title":"The Development of Data Integration Tool with Linked Data: Case Study: Bandung Education Data","authors":"W. Sunindyo, Harry Alvin Waidan Kefas","doi":"10.1109/ICEEI47359.2019.8988794","DOIUrl":null,"url":null,"abstract":"Education data is data about entities in education, such as students, education staff, and educational institution. Recently, education data has drawback of being able to be reused by other software, which results in data have to be migrated manually every time there is a change in other databases that also use education data. To enable data to be synchronized without having to migrate data manually, it is necessary to integrate and convert data into data that can be connected with other data in other software. Data structure that can be used by other software and enable data to be integrated is Linked Data. From this problem, this paper aims to build a tool to make data integrated and linked with other data in other software to automate migration. The tool will receive data input that will be converted into Linked Data. The resulted Linked Data then will be stored in RDF Store and can be fetched by other software through Web API or SPARQL Query Endpoint. In addition, users can explore the resulted Linked Data through RDF Subject Page. Based on the results of evaluations carried out using basic education data and PPDB 2018 data from Bandung State Junior High School 45, the built tool can produce integrated data that also can be used by other software. Thus, it can be concluded that developing tool to integrate and convert data can be a solution to make data integrated and can be used by other software.","PeriodicalId":236517,"journal":{"name":"2019 International Conference on Electrical Engineering and Informatics (ICEEI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Electrical Engineering and Informatics (ICEEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEI47359.2019.8988794","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
Education data is data about entities in education, such as students, education staff, and educational institution. Recently, education data has drawback of being able to be reused by other software, which results in data have to be migrated manually every time there is a change in other databases that also use education data. To enable data to be synchronized without having to migrate data manually, it is necessary to integrate and convert data into data that can be connected with other data in other software. Data structure that can be used by other software and enable data to be integrated is Linked Data. From this problem, this paper aims to build a tool to make data integrated and linked with other data in other software to automate migration. The tool will receive data input that will be converted into Linked Data. The resulted Linked Data then will be stored in RDF Store and can be fetched by other software through Web API or SPARQL Query Endpoint. In addition, users can explore the resulted Linked Data through RDF Subject Page. Based on the results of evaluations carried out using basic education data and PPDB 2018 data from Bandung State Junior High School 45, the built tool can produce integrated data that also can be used by other software. Thus, it can be concluded that developing tool to integrate and convert data can be a solution to make data integrated and can be used by other software.