8 citations · 14 across the 5 of their papers we have counts for
6 papers
Efficient Cloud-edge Collaborative Approaches to SPARQL Queries over Large RDF graphs
Shidan Ma, Peng Peng, Xu Zhou +3
With the increasing use of RDF graphs, storing and querying such data using SPARQL remains a critical problem. Current mainstream solutions rely on cloud-based data management arch…
Accelerating Partial Evaluation in Distributed SPARQL Query Evaluation
Peng Peng, Lei Zou, Runyu Guan
Partial evaluation has recently been used for processing SPARQL queries over a large resource description framework (RDF) graph in a distributed environment. However, the previous…
gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing
Xiaowang Zhang, Mingyue Zhang, Peng Peng +3
Resource Description Framework (RDF) has been widely used to represent information on the web, while SPARQL is a standard query language to manipulate RDF data. Given a SPARQL quer…
Query Workload-based RDF Graph Fragmentation and Allocation
Peng Peng, Lei Zou, Lei Chen +1
As the volume of the RDF data becomes increasingly large, it is essential for us to design a distributed database system to manage it. For distributed RDF data design, it is quite…
On The Marriage of SPARQL and Keywords
Peng Peng, Lei Zou, Dongyan Zhao
Although SPARQL has been the predominant query language over RDF graphs, some query intentions cannot be well captured by only using SPARQL syntax. On the other hand, the keyword s…
Processing SPARQL Queries Over Distributed RDF Graphs
Peng Peng, Lei Zou, M. Tamer Özsu +2
We propose techniques for processing SPARQL queries over a large RDF graph in a distributed environment. We adopt a "partial evaluation and assembly" framework. Answering a SPARQL…