Jiaqi Chen(Master’s degree candidate)

Education Background

• 2016.9-2019.7 EECS, Peking University Computer Applied Technology (master)
• 2012.9-2016.7 EECS, Peking University Computer Science and Technology (bachelor)

Research Direction

• Knowledge Base query language (SPARQL) optimization
• Develop the quey parser, query evaluation plan generation and query cache management modules in open source RDF data management engine gStore, enable the system handling queries conforming to SPARQL 1.0 standard and improve the performance for complicated and nested queries.
• Multi-Query Optimization Approach：Cluster structurally similar queries in a batch, mine common query patterns, select by cost model and extract the intermediate results of common query patterns to reduce the total time of query evaluation.
• General Query Optimization Approach: For queries including UNION, OPTIONAL and FILTER clauses, utilize equivalent transformations to generate query evaluation plan containing tight constraints and reduce the time of query evaluation by filtering candidate list.