文件名称：Storage and Retrieval of L ar ge RDF G raph Usin g Had o op and MapReduce
文件大小：148KB
文件格式：PDF
更新时间：2016-07-27 11:40:14
RDF Hadoop
很著名的一篇论文。摘要： Handling huge amount of data scalably is a matter of concern for a long time. Same is true for semantic web data. Current semantic web frameworks lack this ability. In this paper, we describe a framework that we built using Hadoop 1 to store and retrieve large number of RDF 2 triples. We describe our schema to store RDF data in Hadoop Distribute File System. We also present our algorithms to answer a SPARQL 3 query. We make use of Hadoop’s MapReduce framework to actually answer the queries. Our results reveal that we can store huge amount of semantic web data in Hadoop clusters built mostly by cheap commodity class hardware and still can answer queries fast enough. We conclude that ours is a scalable framework, able to handle large amount of RDF data efficiently.