Assessing RDF Graph Databases for Smart City Services

@inproceedings{Nesi2017AssessingRG,
  title={Assessing RDF Graph Databases for Smart City Services},
  author={Paolo Nesi and Pierfrancesco Bellini},
  booktitle={DMSVLSS},
  year={2017}
}
RDF stores may be used to set up knowledge bases integrating heterogeneous information for web and mobile applications to use the data for new advanced services to citizens and city administrators, thus exploiting inferential capabilities, temporal and spatial reasoning, and text indexing. In this paper, the needs and constraints for RDF stores to be used for smart cities services, together with the currently available RDF stores are evaluated. The assessment model allows a full understanding… 

References

SHOWING 1-10 OF 20 REFERENCES
Km4City ontology building vs data harvesting and cleaning for smart-city services
Graph databases methodology and tool supporting index/store versioning
Ontology-based Access to Streaming Data
TLDR
An ontology-based streaming data access service, based on extensions to the R2O mapping language and its query processor ODEMapster, and to the C-SPARQL RDF stream query language, which aims at providing semantic access to streaming data sources through mappings between the elements in stream and ontological models, as in relational-to-RDF approaches.
Cloud Based Big Data Analytics for Smart Future Cities
TLDR
A prototype has been designed and developed to demonstrate the effectiveness of the analytics service for big data analysis and the service analyses the Bristol Open data by identifying correlations between selected urban environment indicators.
CityBench: A Configurable Benchmark to Evaluate RSP Engines Using Smart City Datasets
TLDR
Performance, correctness and technical soundness of few existing RSP engines have been evaluated in controlled settings using existing benchmarks like LSBench and SRBench, but these benchmarks focus merely on features of the RSP query languages and engines and do not consider dynamic application requirements and data-dependent properties.
SRBench: A Streaming RDF/SPARQL Benchmark
TLDR
SRBench is introduced, a general-purpose benchmark primarily designed for streaming RDF/SPARQL engines, completely based on real-world data sets from the Linked Open Data cloud, which defines a concise, yet comprehensive set of queries that cover the major aspects of strRS processing.
Linked Stream Data Processing Engines: Facts and Figures
TLDR
This work proposes a novel, customizable evaluation framework and a corresponding methodology for realistic data generation, system testing, and result analysis, and provides a detailed analysis of the experimental outcomes that reveal useful findings for improving current and future engines.
SP^2Bench: A SPARQL Performance Benchmark
TLDR
SP^2Bench, a publicly available, language-specific SPARQL performance benchmark, which comprises both a data generator for creating arbitrarily large DBLP-like documents and a set of carefully designed benchmark queries.
Apples and oranges: a comparison of RDF benchmarks and real RDF datasets
TLDR
This paper compares data generated with existing RDF benchmarks and data found in widely used real RDF datasets and shows that simple primitive data metrics are inadequate to flesh out the fundamental differences between real and benchmark data.
Smart cities software architectures: a survey
TLDR
Based on different architectures with the most varied purposes, a set of requirements for the implementation of a smart city is presented and discussed.
...
...