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https://research.matf.bg.ac.rs/handle/123456789/1003
Title: | An RDF dataset generator for the social network benchmark with real-world coherence | Authors: | Spasić, Mirko Jovanovik, Milos Prat-Pérez, Arnau |
Affiliations: | Informatics and Computer Science | Keywords: | Benchmarks;Big data;Data generation;Linked data;RDF;Social network benchmark;Synthetic data | Issue Date: | 1-Jan-2016 | Related Publication(s): | Proceedings of the Workshop on Benchmarking Linked Data (BLINK 2016) | Journal: | CEUR Workshop Proceedings | Abstract: | Synthetic datasets used in benchmarking need to mimic all characteristics of real-world datasets, in order to provide realistic benchmarking results. Synthetic RDF datasets usually show a significant discrepancy in the level of structuredness compared to real-world RDF datasets. This structural difference is important as it directly affects storage, indexing and querying. In this paper, we show that the synthetic RDF dataset used in the Social Network Benchmark is characterized with high-structuredness and therefore introduce modifications to the data generator so that it produces an RDF dataset with a real-world structuredness. |
URI: | https://research.matf.bg.ac.rs/handle/123456789/1003 | ISSN: | 16130073 |
Appears in Collections: | Research outputs |
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