A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf
.
Efficient social network data query processing on MapReduce
2013
Proceedings of the 5th ACM workshop on HotPlanet - HotPlanet '13
Social network data analysis becomes increasingly important for business intelligence and online social services. Lots of social network data is presented by Resource Description Framework (RDF). Accordingly, SPARQL, an RDF query language, becomes popular for social network data analysis. As the sizes of social networks expand rapidly, a SPARQL query usually involves a large quantity of data, and thus parallelizing its execution is desirable. MapReduce is a well-known and popular big data
doi:10.1145/2491159.2491169
dblp:conf/sigcomm/LiuYG13
fatcat:c6vn7xqyerh25mbteomhevif7m