{"title":"Spar(k)ql: SPARQL Evaluation Method on Spark GraphX","authors":"G. Gombos, G. Rácz, A. Kiss","doi":"10.1109/W-FiCloud.2016.48","DOIUrl":null,"url":null,"abstract":"RDF is a flexible data representation model. Due to its flexibility and simplicity it has become a popular framework, hence the amount of RDF data is increasing fast. Querying massive amount of data is a serious challenge in general and it is true for RDF data as well. In this paper we investigating how to evaluate SPARQL queries on a distributed system. We propose a novel method for evaluating SPARQL queries using the GraphX graph analytical tool. GraphX is built on the top of Spark that is an in-memory data processing system for distributive computation. With this tool we managed to utilize the graph-like structure of the RDF statements which are in form of subject-predicate-object.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/W-FiCloud.2016.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
RDF is a flexible data representation model. Due to its flexibility and simplicity it has become a popular framework, hence the amount of RDF data is increasing fast. Querying massive amount of data is a serious challenge in general and it is true for RDF data as well. In this paper we investigating how to evaluate SPARQL queries on a distributed system. We propose a novel method for evaluating SPARQL queries using the GraphX graph analytical tool. GraphX is built on the top of Spark that is an in-memory data processing system for distributive computation. With this tool we managed to utilize the graph-like structure of the RDF statements which are in form of subject-predicate-object.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
