Projects per year
Abstract
Since there are a lot of similar or common properties between RDF and relational databases and between SPARQL and SQL, many efforts focus on leveraging the research results of optimizing relational query languages for optimizing SPARQL queries. However, SPARQL has its own characteristics different from SQL, which are not fully exploited by existing work. Therefore, there is still much space for research on optimizing SPARQL queries. Based on the triple nature of RDF data, we create 7 indices to retrieve RDF data quickly; based on the SPARQL-specific properties and the 7 indices, we develop a new, efficient approach to computing join by dynamically restricting triple patterns. Our experimental results show the efficiency of our approach.
Original language | English |
---|---|
Title of host publication | Proceedings of the 2009 ACM Symposium on Applied Computing |
Number of pages | 8 |
Place of Publication | New York, NY, USA |
Publisher | ACM |
Publication date | 08.03.2009 |
Pages | 1231-1238 |
ISBN (Print) | 978-1-60558-166-8 |
DOIs | |
Publication status | Published - 08.03.2009 |
Event | 24th Annual ACM Symposium on Applied Computing - Honolulu, United States Duration: 08.03.2009 → 12.03.2009 Conference number: 78664 |
Research Areas and Centers
- Research Area: Intelligent Systems
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
DFG Research Classification Scheme
- 4.43-03 Security and Dependability, Operating, Communication and Distributed Systems
Fingerprint
Dive into the research topics of 'Efficient Processing of SPARQL Joins in Memory by Dynamically Restricting Triple Patterns'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Logically and physically optimized Semantic Web database engine
Groppe, S. & Linnemann, V.
01.01.07 → 31.12.11
Project: DFG Projects › DFG Individual Projects