Comparison and Analysis of RDF Data Using SPARQL, HIVE, PIG in Hadoop

被引：0

作者：

Chandel, Anshul ^{[1
]}

Garg, Deepak ^{[1
]}

机构：

[1] Thapar Univ, CSED, Patiala, Punjab, India

来源：

COMPUTING AND NETWORK SUSTAINABILITY | 2017年 / 12卷

关键词：

Hadoop; SPARQL; HIVE; PIG; MapReduce; RDF; PIG-LATIN; HDFS; HIVE-QL;

D O I：

10.1007/978-981-10-3935-5_37

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In the modern generation of "Semantic Web Data", cloud data services play a important role. These services are based on the MapReduce Programming Model. Hadoop is an open source implementation of MapReduce. Hadoop based extensions such as PIG and HIVE are query languages which provide high level data flow. Although SPARQL is considered as the backbone of the semantic web based applications but in this paper we introduce HIVE and PIG for querying RDF data. The goal of the paper is to compare the results of SPARQL, HIVE and PIG and analyze the retrieval time for a query in RDF data.

引用

页码：361 / 369

页数：9

共 13 条

[1] Algebraic Optimization for Processing Graph Pattern Queries in the Cloud [J].

Anyanwu, Kemafor ;

Kim, HyeongSik ;

Ravindra, Padmashree .

IEEE INTERNET COMPUTING, 2013, 17 (02) :52-61

[2]

Arias M., 2011, ABS11035043 CORR

[3]

Ismail AS, 2015, P 14 INT C TEL INF T, P102

[4]

Kim H, 2011, PROC VLDB ENDOW, V4, P1426

[5] DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia [J].

Lehmann, Jens ;

Isele, Robert ;

Jakob, Max ;

Jentzsch, Anja ;

Kontokostas, Dimitris ;

Mendes, Pablo N. ;

Hellmann, Sebastian ;

Morsey, Mohamed ;

van Kleef, Patrick ;

Auer, Soeren ;

Bizer, Christian .

SEMANTIC WEB, 2015, 6 (02) :167-195

[6]

Olston C., 2008, Proceedings of the 2008 ACM SIGMOD international conference on Management Of Data, SIGMOD '08, P1099

[7]

Quilitz Bastian., 2008, QUERYING DISTRIBUTED, P524

[8]

Ravindra P., 2011, P 2 INT WORKSH DAT I, P13

[9]

Ravindra P, 2011, LECT NOTES COMPUT SC, V6644, P46, DOI 10.1007/978-3-642-21064-8_4

[10]

Schätzle A, 2014, LECT NOTES COMPUT SC, V8796, P164, DOI 10.1007/978-3-319-11964-9_11

← 1 2 →