{"title":"分布式RDF存储与检索系统的实现与评价","authors":"Gergely Adamku, H. Stuckenschmidt","doi":"10.1109/WI.2005.73","DOIUrl":null,"url":null,"abstract":"It is widely agreed that the semantic Web will be build on RDF. Therefore the success of the semantic Web also depends on the availability of a scalable and reliable infrastructure for storing and accessing RDF data. A number of storage and retrieval systems have been developed recently, but despite the inherently distributed nature of the semantic Web most of these systems do not support distributed storage and retrieval of data. In this paper we report our experiences with implementing a distributed storage and query infrastructure on top of an existing RDF infrastructure. We present the system architecture and discuss performance issues based on a set of experiments with the infrastructure. We conclude with an identification of remaining performance bottlenecks and point to further improvements.","PeriodicalId":213856,"journal":{"name":"The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Implementation and evaluation of a distributed RDF storage and retrieval system\",\"authors\":\"Gergely Adamku, H. Stuckenschmidt\",\"doi\":\"10.1109/WI.2005.73\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is widely agreed that the semantic Web will be build on RDF. Therefore the success of the semantic Web also depends on the availability of a scalable and reliable infrastructure for storing and accessing RDF data. A number of storage and retrieval systems have been developed recently, but despite the inherently distributed nature of the semantic Web most of these systems do not support distributed storage and retrieval of data. In this paper we report our experiences with implementing a distributed storage and query infrastructure on top of an existing RDF infrastructure. We present the system architecture and discuss performance issues based on a set of experiments with the infrastructure. We conclude with an identification of remaining performance bottlenecks and point to further improvements.\",\"PeriodicalId\":213856,\"journal\":{\"name\":\"The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI.2005.73\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI.2005.73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation and evaluation of a distributed RDF storage and retrieval system
It is widely agreed that the semantic Web will be build on RDF. Therefore the success of the semantic Web also depends on the availability of a scalable and reliable infrastructure for storing and accessing RDF data. A number of storage and retrieval systems have been developed recently, but despite the inherently distributed nature of the semantic Web most of these systems do not support distributed storage and retrieval of data. In this paper we report our experiences with implementing a distributed storage and query infrastructure on top of an existing RDF infrastructure. We present the system architecture and discuss performance issues based on a set of experiments with the infrastructure. We conclude with an identification of remaining performance bottlenecks and point to further improvements.