{"title":"面向结构连接的XML数据压缩","authors":"Dongping Wei, X. Wei","doi":"10.1109/WCSE.2012.14","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of failing to support effective structural join on compressed data of existing XML Data compressors, this paper proposes a new Compressor Structural Join Oriented XML Data Compressor which makes structural join possible by giving all elements and attribute names in document a unique region encoding. This paper also provides a definition of the Same Sub Tree(SST) and an algorithm of merging the SSTs. An experimental evaluation on the typical XML datasets shows the efficiency of SJXC.","PeriodicalId":244586,"journal":{"name":"2012 Third World Congress on Software Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Structural Join Oriented XML Data Compression\",\"authors\":\"Dongping Wei, X. Wei\",\"doi\":\"10.1109/WCSE.2012.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem of failing to support effective structural join on compressed data of existing XML Data compressors, this paper proposes a new Compressor Structural Join Oriented XML Data Compressor which makes structural join possible by giving all elements and attribute names in document a unique region encoding. This paper also provides a definition of the Same Sub Tree(SST) and an algorithm of merging the SSTs. An experimental evaluation on the typical XML datasets shows the efficiency of SJXC.\",\"PeriodicalId\":244586,\"journal\":{\"name\":\"2012 Third World Congress on Software Engineering\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third World Congress on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSE.2012.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2012.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aiming at the problem of failing to support effective structural join on compressed data of existing XML Data compressors, this paper proposes a new Compressor Structural Join Oriented XML Data Compressor which makes structural join possible by giving all elements and attribute names in document a unique region encoding. This paper also provides a definition of the Same Sub Tree(SST) and an algorithm of merging the SSTs. An experimental evaluation on the typical XML datasets shows the efficiency of SJXC.
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