{"title":"关系数据库到语义Web本体映射的集成规则研究","authors":"M. Hazber, Jincai Yang, Qian Jin","doi":"10.1109/WISM.2010.21","DOIUrl":null,"url":null,"abstract":"This paper points towards the integration rules of mapping from relational database such as SQL DDL, schema and data into the semantic web ontology such as OWL which build on top of RDF using vocabulary RDFS and XML schema data type. From the study, different cases are considered: such as tables, relationships, composite-column, single or multiple primary key, foreign key, constraints, check between, check like, etc, and then using one of these cases to mapping data rows to ontology instances. This approach reduces the cost and time for building ontology (OWL).","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Towards Integration Rules of Mapping from Relational Databases to Semantic Web Ontology\",\"authors\":\"M. Hazber, Jincai Yang, Qian Jin\",\"doi\":\"10.1109/WISM.2010.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper points towards the integration rules of mapping from relational database such as SQL DDL, schema and data into the semantic web ontology such as OWL which build on top of RDF using vocabulary RDFS and XML schema data type. From the study, different cases are considered: such as tables, relationships, composite-column, single or multiple primary key, foreign key, constraints, check between, check like, etc, and then using one of these cases to mapping data rows to ontology instances. This approach reduces the cost and time for building ontology (OWL).\",\"PeriodicalId\":119569,\"journal\":{\"name\":\"2010 International Conference on Web Information Systems and Mining\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Web Information Systems and Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISM.2010.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Integration Rules of Mapping from Relational Databases to Semantic Web Ontology
This paper points towards the integration rules of mapping from relational database such as SQL DDL, schema and data into the semantic web ontology such as OWL which build on top of RDF using vocabulary RDFS and XML schema data type. From the study, different cases are considered: such as tables, relationships, composite-column, single or multiple primary key, foreign key, constraints, check between, check like, etc, and then using one of these cases to mapping data rows to ontology instances. This approach reduces the cost and time for building ontology (OWL).
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