{"title":"关系数据库到本体转换的模式映射:综述","authors":"Paramita Mayadewi, B. Sitohang, F. N. Azizah","doi":"10.1109/ICODSE.2017.8285866","DOIUrl":null,"url":null,"abstract":"Ontology has an important role in creating semantic data on web semantics. Developing a new ontology model for a knowledge domain is not an easy process. Several existing studies, trying to obtain knowledge from existing assets, that is relational data model. The fundamental problem in the process of transforming relational database to ontology is how to construct an ontology model and extracting hidden semantics from relational model. Relational model are recognized as less expressive and incapable of supporting some conceptualizations. In this paper, we will provide an overview of the mapping scheme approach for transforming relational databases to ontologies based on literature studies from several studies that have been conducted. The results of the study concluded that the mapping scheme process for relational database transformation to ontology should consider all possible combinations of primary and foreign keys in relational model to produce a rich ontology.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Scheme mapping for relational database transformation to ontology: A survey\",\"authors\":\"Paramita Mayadewi, B. Sitohang, F. N. Azizah\",\"doi\":\"10.1109/ICODSE.2017.8285866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontology has an important role in creating semantic data on web semantics. Developing a new ontology model for a knowledge domain is not an easy process. Several existing studies, trying to obtain knowledge from existing assets, that is relational data model. The fundamental problem in the process of transforming relational database to ontology is how to construct an ontology model and extracting hidden semantics from relational model. Relational model are recognized as less expressive and incapable of supporting some conceptualizations. In this paper, we will provide an overview of the mapping scheme approach for transforming relational databases to ontologies based on literature studies from several studies that have been conducted. The results of the study concluded that the mapping scheme process for relational database transformation to ontology should consider all possible combinations of primary and foreign keys in relational model to produce a rich ontology.\",\"PeriodicalId\":366005,\"journal\":{\"name\":\"2017 International Conference on Data and Software Engineering (ICoDSE)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Data and Software Engineering (ICoDSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICODSE.2017.8285866\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Data and Software Engineering (ICoDSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICODSE.2017.8285866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scheme mapping for relational database transformation to ontology: A survey
Ontology has an important role in creating semantic data on web semantics. Developing a new ontology model for a knowledge domain is not an easy process. Several existing studies, trying to obtain knowledge from existing assets, that is relational data model. The fundamental problem in the process of transforming relational database to ontology is how to construct an ontology model and extracting hidden semantics from relational model. Relational model are recognized as less expressive and incapable of supporting some conceptualizations. In this paper, we will provide an overview of the mapping scheme approach for transforming relational databases to ontologies based on literature studies from several studies that have been conducted. The results of the study concluded that the mapping scheme process for relational database transformation to ontology should consider all possible combinations of primary and foreign keys in relational model to produce a rich ontology.