Stylus: A Strongly-Typed Store for Serving Massive RDF Data
Summary: Stylus replaces weakly typed triple storage with a strongly typed, entity-oriented materialized join view, reducing SPARQL joins and random-access costs. Compact intermediates and graph-decomposition planning substantially accelerate massive RDF query serving. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Liang He (University of Science and Technology Beijing)
- 2. Bin Shao (Microsoft)
- 3. Yatao Li (Microsoft)
- 4. Huanhuan Xia (Microsoft)
- 5. Yanghua Xiao (Fudan University)
- 6. Enhong Chen (University of Science and Technology Beijing)
- 7. Liang Jeff Chen (Microsoft)
BibTeX Citation
@article{he_vldb18,
title = {{Stylus: A Strongly-Typed Store for Serving Massive RDF Data}},
author = {He, Liang and Shao, Bin and Li, Yatao and Xia, Huanhuan and Xiao, Yanghua and Chen, Enhong and Chen, Liang Jeff},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {2},
pages = {203--216},
doi = {10.14778/3149193.3149200},
url = {https://doi.org/10.14778/3149193.3149200},
year = {2018}
}
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