A Cost-Driven Top-K Queries Optimization Approach on Federated RDF Systems
Author:
Affiliation:
1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China
2. Peking University, Beijing, China
3. Department of Computer Science, State University of New York, NY, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Information Systems and Management,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/6687317/10068313/09726920.pdf?arnumber=9726920
Reference39 articles.
1. SPLENDID: SPARQL endpoint federation exploiting VOID descriptions;görlitz;Proc COLD,0
2. Top-k queries on RDF graphs
3. FedTopK: Top-K Queries Optimization over Federated RDF Systems
4. FedX: Optimization Techniques for Federated Query Processing on Linked Data
5. On Completeness Classes for Query Evaluation on Linked Data
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