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An Ontology-Based Conversation System for Knowledge Bases

Summary: Ontology-based system for domain KBs; uses ontology to identify intents and bootstrap conversations with entities. Expert feedback refines patterns and generates training data, easing designer burden; IBM Micromedex hosts healthcare deployment. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5961
Venue
SIGMOD
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,785 | 19.15%
DOI
10.1145/3318464.3386139

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Authors

BibTeX Citation

@inproceedings{quamar_sigmod20,
        title = {{An Ontology-Based Conversation System for Knowledge Bases}},
        author = {Quamar, Abdul and Lei, Chuan and Miller, Dorian and Özcan, Fatma and Kreulen, Jeffrey and Moore, Robert J and Efthymiou, Vasilis},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3386139},
        url = {https://dl.acm.org/doi/10.1145/3318464.3386139},
        year = {2020}
}

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