Rule execution in CPLEX: a persistent objectbase
Lecture notes in computer science on Advances in object-oriented database systems
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
ToXgene: a template-based data generator for XML
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Graph mining: Laws, generators, and algorithms
ACM Computing Surveys (CSUR)
XMark: a benchmark for XML data management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
On Graph Features of Semantic Web Schemas
IEEE Transactions on Knowledge and Data Engineering
Benchmarking database representations of RDF/S stores
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Realistic, mathematically tractable graph generation and evolution, using kronecker multiplication
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Hi-index | 0.00 |
In order to cope with the expected size of the Semantic Web (SW) in the coming years, we need to benchmark existing SWtools (e.g., query language interpreters) in a credible manner. In this paper we present the first RDFSschema generator, termed PoweRGen, which takes into account the morphological features that schemas frequently exhibit in reality. In particular, we are interested in generating synthetically the two core components of an RDFSschema, namely the property(relationships between classes or attributes) and the subsumption(subsumption relationships among classes) graph. The total-degree distribution of the former, as well as the out-degree distribution of the Transitive Closure (TC) of the latter, usually follow a power-law. PoweRGen produces synthetic property and subsumption graphs whose distributions respect the power-lawexponents given as input with a confidence ranging between 90 驴 98%.