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Type Inference for Queries on Semistructured Data (Extended Abstract)

Summary: Introduces a novel "traces" technique for type checking and inference over semistructured data, showing the general problem is NP-complete but PTIME for many practical cases (notably XML queries). Traces enable practical query formulation, optimization, and verification. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1175
Venue
PODS
Year
1999
Pagerank
8.846133e-05
Overall Rank
2,261 | 84.49%
DOI
10.1145/303976.303998

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{milo_pods99,
        address = {New York, NY, USA},
        series = {{PODS} '99},
        title = {{Type Inference for Queries on Semistructured Data (Extended Abstract)}},
        url = {https://dl.acm.org/doi/10.1145/303976.303998},
        doi = {10.1145/303976.303998},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Milo, Tova and Suciu, Dan},
        year = {1999}
}

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