The Development of Data Integration Tool with Linked Data: Case Study: Bandung Education Data

W. Sunindyo, Harry Alvin Waidan Kefas
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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.
基于关联数据的数据集成工具的开发:案例研究:万隆教育数据
教育数据是关于教育实体的数据,如学生、教育人员、教育机构等。目前,教育数据的缺点是不能被其他软件重用,这导致每次在使用教育数据的其他数据库中发生变化时都必须手动迁移数据。为了在不手动迁移数据的情况下实现数据同步,有必要将数据集成并转换为可以在其他软件中与其他数据连接的数据。可以被其他软件使用并使数据能够集成的数据结构是关联数据。从这个问题出发,本文旨在构建一个工具,使数据与其他软件中的其他数据进行集成和链接,实现自动化迁移。该工具将接收将转换为关联数据的数据输入。生成的关联数据将存储在RDF Store中,并可由其他软件通过Web API或SPARQL查询端点获取。此外,用户还可以通过RDF主题页探索得到的关联数据。根据使用基础教育数据和万隆国立45初中2018年PPDB数据进行的评估结果,所构建的工具可以产生综合数据,也可以被其他软件使用。由此可以得出结论,开发数据集成和转换工具是实现数据集成的一种解决方案,可以被其他软件使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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