{"title":"如何在RDF基准中生成查询参数?","authors":"Andrey Gubichev, Renzo Angles, P. Boncz","doi":"10.1109/ICDEW.2014.6818339","DOIUrl":null,"url":null,"abstract":"In this paper we consider the problem of generating parameters for queries in RDF benchmarks. We show that uniform random sampling of the substitution parameters is not well suited for RDF benchmarks, since it results in unpredictable runtime behavior of queries. We formulate a formal problem of parameter generation to ensure stable and statistically significant benchmark results.","PeriodicalId":302600,"journal":{"name":"2014 IEEE 30th International Conference on Data Engineering Workshops","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to generate query parameters in RDF benchmarks?\",\"authors\":\"Andrey Gubichev, Renzo Angles, P. Boncz\",\"doi\":\"10.1109/ICDEW.2014.6818339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we consider the problem of generating parameters for queries in RDF benchmarks. We show that uniform random sampling of the substitution parameters is not well suited for RDF benchmarks, since it results in unpredictable runtime behavior of queries. We formulate a formal problem of parameter generation to ensure stable and statistically significant benchmark results.\",\"PeriodicalId\":302600,\"journal\":{\"name\":\"2014 IEEE 30th International Conference on Data Engineering Workshops\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 30th International Conference on Data Engineering Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDEW.2014.6818339\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 30th International Conference on Data Engineering Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDEW.2014.6818339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How to generate query parameters in RDF benchmarks?
In this paper we consider the problem of generating parameters for queries in RDF benchmarks. We show that uniform random sampling of the substitution parameters is not well suited for RDF benchmarks, since it results in unpredictable runtime behavior of queries. We formulate a formal problem of parameter generation to ensure stable and statistically significant benchmark results.