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A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System

Summary: Sya is a spatial probabilistic KB builder extending DeepDive to leverage spatial relations during extraction. Demo on a crime KB shows the workflow and a clear advantage over DeepDive with a spatial language, spatial SQL, and probabilistic inference. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5581
Venue
SIGMOD
Year
2018
Pagerank
5.093636e-05
Overall Rank
11,923 | 18.20%
DOI
10.1145/3183713.3193558

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{sabek_sigmod18,
        title = {{A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System}},
        author = {Sabek, Ibrahim and Musleh, Mashaal and Mokbel, Mohamed F.},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193558},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193558},
        year = {2018}
}

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Rank Citing Paper Year Venue Pagerank
8,722 Machine Learning Meets Big Spatial Data 2019 VLDB 5.3769871e-05
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