{"title":"Native Temporal Slicing Support for XML Databases","authors":"F. Mandreoli, R. Martoglia, E. Ronchetti","doi":"10.2174/1874947X00902020002","DOIUrl":null,"url":null,"abstract":"XML databases, providing structural querying support, are becoming more and more popular. As we know, XML data may change over time and providing an efficient support to queries which also involve temporal aspects is still an open issue. In this paper we present our native Temporal XML Query Processor, which exploits an ad-hoc temporal in- dexing scheme relying on relational approaches and a technology supporting temporal slicing. As we show through an ex- tensive experimental evaluation, our solution achieves good efficiency results, outperforming stratum-based solutions when dealing with time-related application requirements while continuing to guarantee good performance in traditional scenarios.","PeriodicalId":126578,"journal":{"name":"International Conference on Internet Computing","volume":"326 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Internet Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874947X00902020002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
XML databases, providing structural querying support, are becoming more and more popular. As we know, XML data may change over time and providing an efficient support to queries which also involve temporal aspects is still an open issue. In this paper we present our native Temporal XML Query Processor, which exploits an ad-hoc temporal in- dexing scheme relying on relational approaches and a technology supporting temporal slicing. As we show through an ex- tensive experimental evaluation, our solution achieves good efficiency results, outperforming stratum-based solutions when dealing with time-related application requirements while continuing to guarantee good performance in traditional scenarios.