Invited Speakers
Dr. Peng Peng
Hunan University
Title: Processing SPARQL Queries Over Distributed RDF Graphs - A Partial
Evaluation-based Approach
Abstract: With the increasing size of RDF data published on the Web, it is necessary for us to design a distributed database system to process SPARQL queries. In many applications, the RDF graphs are geographically or administratively distributed over the sites, and the RDF repository partitioning strategy is not controlled by the distributed RDF system itself. Thus, partitioning-tolerant SPARQL processing is desirable. We adopt a “partial evaluation and assembly” framework for processing SPARQL queries over a large RDF graph in a distributed environment. Based on properties of subgraph matching over a distributed graph, we introduce local partial match as partial answers in each fragment of RDF graph G. For assembly, we propose two methods: centralized and distributed assembly.
Short Biography: Peng Peng is an Assistant Professor in the College of Computer Science and Electronic Engineering at Hunan University. He received the B.S. degree in Computer Science from Beijing Normal University in 2009, and the Ph.D. degree in Computer Science from Peking University in 2016. His research interests include distributed database systems, knowledge graph management, and semantic web.