@inproceedings{24758f7740c44207802d34f893fa8a0d,
title = "StarMR: An Efficient Star-Decomposition Based Query Processor for SPARQL Basic Graph Patterns Using MapReduce",
abstract = "With the proliferation of knowledge graphs, large amounts of RDF graphs have been released, which raises the need for addressing the challenge of distributed SPARQL queries. In this paper, we propose an efficient distributed method, called, to answer the SPARQL basic graph pattern (BGP) queries on big RDF graphs using MapReduce. In our method, query graphs are decomposed into a set of stars that utilize the semantic and structural information embedded RDF graphs as heuristics. Two optimization techniques are proposed to further improve the efficiency of our algorithms. One filters out invalid input data, the other postpones the Cartesian product operations. The extensive experiments on both synthetic and real-world datasets show that our method outperforms the state-of-the-art method S2X by an order of magnitude.",
keywords = "BGP, MapReduce, RDF graphs, SPARQL, Star decomposition",
author = "Qiang Xu and Xin Wang and Jianxin Li and Ying Gan and Lele Chai and Junhu Wang",
year = "2018",
doi = "10.1007/978-3-319-96890-2_34",
language = "English",
isbn = "9783319968896",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag London Ltd.",
pages = "415--430",
editor = "Yi Cai and Yoshiharu Ishikawa and Jianliang Xu",
booktitle = "Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018",
address = "Germany",
note = "2nd Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2018 ; Conference date: 23-07-2018 Through 25-07-2018",
}