Angela Maduko
Amit Sheth
ABSTRACT
Most RDF query languages allow for graph structure search through a conjunction of triples which is typically processed using join operations. A key factor in optimizing joins is determining the join order which depends on the expected cardinality of intermediate results. This work proposes a pattern-based summarization framework for estimating the cardinality of RDF graph patterns. We present experiments on real world and synthetic datasets which confirm the feasibility of our approach.
- Anyanwu, K., Maduko, A., Sheth, A. SemRank: Ranking Complex Relationship Search Results on the Semantic Web. WWW 2005. Google Scholar
Digital Library
- Guo, Y., Pan, Z., Heflin, J. LUBM: A Benchmark for OWL Knowledge Base Systems. J. of Web Semantics 3(2), 2005. Google ScholarDigital Library
- Haase, P., Broekstra, J., Eberharth, A., Volz, R. A Comparison of RDF Query Languages. ISWC 2004.Google Scholar
- Yan, X., Han, J. gSpan: Graph--Based Substructure Pattern Mining. ICDM 2002. Google ScholarDigital Library
- http://lsdis.cs.uga.edu/projects/semdis/swetodblpGoogle Scholar
Index Terms
- Estimating the cardinality of RDF graph patterns
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