{"title":"New Graphical Ultimate Processor for Mapping Relational Database to Resource Description Framework","authors":"A. Daoud, Khalid M. Hosny, Ehab Mohamed","doi":"10.1109/icci54321.2022.9756069","DOIUrl":null,"url":null,"abstract":"The World Wide Web Consortium (W3C) RDB2RDF Work Group (RDB2RDF-WG) recommended two mapping languages, Direct Mapping (DM) and Relational Database to RDF Mapping Language (R2RML) for Mapping Relational Databases (RDBs) to Resource Description Framework (RDF). Direct Mapping directly maps the RDB schema to RDF using a collection of simple transformations, whereas R2RML is a language for manually created mappings from RDB tables to RDF output. The manual creation of mapping is complex, error-prone, and time-consuming, where any single mistake could produce an invalid output document. In this paper, a new Graphical Ultimate Processor (GUP) is proposed for mapping from RDBs to RDF. The proposed mapping processor is called RDB2RDF-GUP, but for simplicity, we shall represent RDB2RDF-GUP by RUP. This processor acts as a standalone tool with a Graphical User Interface (GUI) that facilitates the mapping process and supports a diversity of other features. This new processor is a useful tool for integrating the databases in Semantic Web applications that incorporate all data formats into a combined knowledge model. Through a small set of GUI screens, RUP enables the users to perform the most required tasks by selecting from the available lists most of the time rather than writing. This processor is simple and very useful for domain experts and semi-experts. Our results show that the proposed processor, RUP, outperforms other existing processors in the usability and the number of supported features.","PeriodicalId":122550,"journal":{"name":"2022 5th International Conference on Computing and Informatics (ICCI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Computing and Informatics (ICCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icci54321.2022.9756069","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
The World Wide Web Consortium (W3C) RDB2RDF Work Group (RDB2RDF-WG) recommended two mapping languages, Direct Mapping (DM) and Relational Database to RDF Mapping Language (R2RML) for Mapping Relational Databases (RDBs) to Resource Description Framework (RDF). Direct Mapping directly maps the RDB schema to RDF using a collection of simple transformations, whereas R2RML is a language for manually created mappings from RDB tables to RDF output. The manual creation of mapping is complex, error-prone, and time-consuming, where any single mistake could produce an invalid output document. In this paper, a new Graphical Ultimate Processor (GUP) is proposed for mapping from RDBs to RDF. The proposed mapping processor is called RDB2RDF-GUP, but for simplicity, we shall represent RDB2RDF-GUP by RUP. This processor acts as a standalone tool with a Graphical User Interface (GUI) that facilitates the mapping process and supports a diversity of other features. This new processor is a useful tool for integrating the databases in Semantic Web applications that incorporate all data formats into a combined knowledge model. Through a small set of GUI screens, RUP enables the users to perform the most required tasks by selecting from the available lists most of the time rather than writing. This processor is simple and very useful for domain experts and semi-experts. Our results show that the proposed processor, RUP, outperforms other existing processors in the usability and the number of supported features.