{"title":"海量图的常规路径查询","authors":"Maurizio Nolé, C. Sartiani","doi":"10.1145/2949689.2949711","DOIUrl":null,"url":null,"abstract":"Regular Path Queries (RPQs) represent a powerful tool for querying graph databases and are of particular interest, because they form the building blocks of other query languages, and because they can be used in many theoretical or practical contexts for different purposes. In this paper we present a novel system for processing regular path queries on massive data graphs. As confirmed by an extensive experimental evaluation, our system scales linearly with the number of vertices and/or edges, and it can efficiently query graphs up to a billion vertices and 100 billion edges.","PeriodicalId":254803,"journal":{"name":"Proceedings of the 28th International Conference on Scientific and Statistical Database Management","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Regular Path Queries on Massive Graphs\",\"authors\":\"Maurizio Nolé, C. Sartiani\",\"doi\":\"10.1145/2949689.2949711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Regular Path Queries (RPQs) represent a powerful tool for querying graph databases and are of particular interest, because they form the building blocks of other query languages, and because they can be used in many theoretical or practical contexts for different purposes. In this paper we present a novel system for processing regular path queries on massive data graphs. As confirmed by an extensive experimental evaluation, our system scales linearly with the number of vertices and/or edges, and it can efficiently query graphs up to a billion vertices and 100 billion edges.\",\"PeriodicalId\":254803,\"journal\":{\"name\":\"Proceedings of the 28th International Conference on Scientific and Statistical Database Management\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th International Conference on Scientific and Statistical Database Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2949689.2949711\",\"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 28th International Conference on Scientific and Statistical Database Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2949689.2949711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regular Path Queries (RPQs) represent a powerful tool for querying graph databases and are of particular interest, because they form the building blocks of other query languages, and because they can be used in many theoretical or practical contexts for different purposes. In this paper we present a novel system for processing regular path queries on massive data graphs. As confirmed by an extensive experimental evaluation, our system scales linearly with the number of vertices and/or edges, and it can efficiently query graphs up to a billion vertices and 100 billion edges.