{"title":"倒排索引压缩中半结构化数据到结构化数据的映射","authors":"B. Usharani","doi":"10.14257/IJDTA.2017.10.1.22","DOIUrl":null,"url":null,"abstract":"Semi-structured data is used for representing the data over the Internet. In this paper, an implementation is given for, how to convert XML documents to SQL tables, processing the relational data to get the desired result using SQL queries, and stores the results back to XML and finally displaying the XML data in the web page.","PeriodicalId":13926,"journal":{"name":"International journal of database theory and application","volume":"9 1","pages":"235-244"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mapping the Semi-Structured Data to the Structured Data for Inverted Index Compression\",\"authors\":\"B. Usharani\",\"doi\":\"10.14257/IJDTA.2017.10.1.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Semi-structured data is used for representing the data over the Internet. In this paper, an implementation is given for, how to convert XML documents to SQL tables, processing the relational data to get the desired result using SQL queries, and stores the results back to XML and finally displaying the XML data in the web page.\",\"PeriodicalId\":13926,\"journal\":{\"name\":\"International journal of database theory and application\",\"volume\":\"9 1\",\"pages\":\"235-244\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of database theory and application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14257/IJDTA.2017.10.1.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of database theory and application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14257/IJDTA.2017.10.1.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mapping the Semi-Structured Data to the Structured Data for Inverted Index Compression
Semi-structured data is used for representing the data over the Internet. In this paper, an implementation is given for, how to convert XML documents to SQL tables, processing the relational data to get the desired result using SQL queries, and stores the results back to XML and finally displaying the XML data in the web page.
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