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A Universal Question-Answering Platform for Knowledge Graphs

Summary: Universal QA for knowledge graphs via a neural sequence-to-sequence that converts questions into a KG-agnostic abstract representation. A just-in-time linker maps that representation to SPARQL over any KG using public APIs and RDF indices, with no pre-processing, achieving strong results on unseen KGs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6622
Venue
SIGMOD
Year
2023
Pagerank
5.1757914e-05
Overall Rank
10,023 | 31.24%
DOI
10.1145/3588911

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{omar_sigmod23,
        title = {{A Universal Question-Answering Platform for Knowledge Graphs}},
        author = {Omar, Reham and Dhall, Ishika and Kalnis, Panos and Mansour, Essam},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588911},
        url = {https://dl.acm.org/doi/10.1145/3588911},
        year = {2023}
}

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