{"title":"使用RSP4J处理Web流","authors":"Riccardo Tommasini, P. Bonte","doi":"10.1145/3465480.3467844","DOIUrl":null,"url":null,"abstract":"Social Media Analysis, Internet of Things, and Fake News detection have unveiled the relevance of real-time analytics on the Web. As a consequence, the Web infrastructure is evolving to enable continuous and reactive data access. Since data streams available on the Web originate from a variety of sources, they are highly heterogeneous. Indeed, addressing data variety and velocity simultaneously is inevitable. Stream Reasoning is the research field that studies how to combine data integration techniques with stream processing technologies. In particular, solutions for RDF Stream Processing (RSP) combine stream processing notions with data integration standards. This tutorial paper presents RSP4J, a innovative API that aims at fostering the adoption of RSP by simplifying the usage, benchmarking, and fast prototyping of Web Stream Processing applications.","PeriodicalId":217173,"journal":{"name":"Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems","volume":"90 24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Web stream processing with RSP4J\",\"authors\":\"Riccardo Tommasini, P. Bonte\",\"doi\":\"10.1145/3465480.3467844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social Media Analysis, Internet of Things, and Fake News detection have unveiled the relevance of real-time analytics on the Web. As a consequence, the Web infrastructure is evolving to enable continuous and reactive data access. Since data streams available on the Web originate from a variety of sources, they are highly heterogeneous. Indeed, addressing data variety and velocity simultaneously is inevitable. Stream Reasoning is the research field that studies how to combine data integration techniques with stream processing technologies. In particular, solutions for RDF Stream Processing (RSP) combine stream processing notions with data integration standards. This tutorial paper presents RSP4J, a innovative API that aims at fostering the adoption of RSP by simplifying the usage, benchmarking, and fast prototyping of Web Stream Processing applications.\",\"PeriodicalId\":217173,\"journal\":{\"name\":\"Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems\",\"volume\":\"90 24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3465480.3467844\",\"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 15th ACM International Conference on Distributed and Event-based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3465480.3467844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social Media Analysis, Internet of Things, and Fake News detection have unveiled the relevance of real-time analytics on the Web. As a consequence, the Web infrastructure is evolving to enable continuous and reactive data access. Since data streams available on the Web originate from a variety of sources, they are highly heterogeneous. Indeed, addressing data variety and velocity simultaneously is inevitable. Stream Reasoning is the research field that studies how to combine data integration techniques with stream processing technologies. In particular, solutions for RDF Stream Processing (RSP) combine stream processing notions with data integration standards. This tutorial paper presents RSP4J, a innovative API that aims at fostering the adoption of RSP by simplifying the usage, benchmarking, and fast prototyping of Web Stream Processing applications.
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