{"title":"流WatDiv:一个流RDF基准","authors":"Libo Gao, Lukasz Golab, M. Tamer Özsu, Günes Aluç","doi":"10.1145/3208352.3208355","DOIUrl":null,"url":null,"abstract":"We present Stream WatDiv -- an open-source benchmark for streaming RDF data management systems. The proposed benchmark extends the existing WatDiv benchmark, and includes a streaming data generator, a query generator that can produce a diverse set of SPARQL queries, and a testbed to monitor correctness and latency. We use Stream WatDiv to evaluate two popular streaming RDF engines: C-SPARQL and CQUELS. With the diverse set of queries that can be generated by Stream WatDiv, we demonstrate new insights into the behaviour and performance of these systems.","PeriodicalId":210506,"journal":{"name":"Proceedings of the International Workshop on Semantic Big Data","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Stream WatDiv: A Streaming RDF Benchmark\",\"authors\":\"Libo Gao, Lukasz Golab, M. Tamer Özsu, Günes Aluç\",\"doi\":\"10.1145/3208352.3208355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present Stream WatDiv -- an open-source benchmark for streaming RDF data management systems. The proposed benchmark extends the existing WatDiv benchmark, and includes a streaming data generator, a query generator that can produce a diverse set of SPARQL queries, and a testbed to monitor correctness and latency. We use Stream WatDiv to evaluate two popular streaming RDF engines: C-SPARQL and CQUELS. With the diverse set of queries that can be generated by Stream WatDiv, we demonstrate new insights into the behaviour and performance of these systems.\",\"PeriodicalId\":210506,\"journal\":{\"name\":\"Proceedings of the International Workshop on Semantic Big Data\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Workshop on Semantic Big Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3208352.3208355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Workshop on Semantic Big Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3208352.3208355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present Stream WatDiv -- an open-source benchmark for streaming RDF data management systems. The proposed benchmark extends the existing WatDiv benchmark, and includes a streaming data generator, a query generator that can produce a diverse set of SPARQL queries, and a testbed to monitor correctness and latency. We use Stream WatDiv to evaluate two popular streaming RDF engines: C-SPARQL and CQUELS. With the diverse set of queries that can be generated by Stream WatDiv, we demonstrate new insights into the behaviour and performance of these systems.
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