{"title":"用于可视化查询结构化文档的查询图","authors":"Rami Harrathi, S. Calabretto","doi":"10.1109/ICDIM.2007.4444210","DOIUrl":null,"url":null,"abstract":"This article deals with structured document querying. We propose a visual querying based on a graph. The user query is represented graphically by a graph. In this way, it is possible to carry out a query of a rare syntactic and semantic complexity. The visual querying is validated by the development of a prototype XmlBrowser for seamlessly browsing and querying a collection of structured documents (Xml) in both contents and structure.","PeriodicalId":198626,"journal":{"name":"2007 2nd International Conference on Digital Information Management","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A query graph for visual querying structured documents\",\"authors\":\"Rami Harrathi, S. Calabretto\",\"doi\":\"10.1109/ICDIM.2007.4444210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article deals with structured document querying. We propose a visual querying based on a graph. The user query is represented graphically by a graph. In this way, it is possible to carry out a query of a rare syntactic and semantic complexity. The visual querying is validated by the development of a prototype XmlBrowser for seamlessly browsing and querying a collection of structured documents (Xml) in both contents and structure.\",\"PeriodicalId\":198626,\"journal\":{\"name\":\"2007 2nd International Conference on Digital Information Management\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 2nd International Conference on Digital Information Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIM.2007.4444210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2007.4444210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A query graph for visual querying structured documents
This article deals with structured document querying. We propose a visual querying based on a graph. The user query is represented graphically by a graph. In this way, it is possible to carry out a query of a rare syntactic and semantic complexity. The visual querying is validated by the development of a prototype XmlBrowser for seamlessly browsing and querying a collection of structured documents (Xml) in both contents and structure.