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MESSIAH: Missing Element-Conscious SLCA Nodes Search in XML Data

Summary: MESSIAH generalizes SLCA-style keyword search to XML with missing elements by enforcing optionality resilience. It converts irregular documents into a minimal full document by representing missing elements as empties, then identifies partial and complete full-SLCA nodes; two variants of MESSIAH preserve state-of-the-art results when no missing data and improve quality with missing elements. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4694
Venue
SIGMOD
Year
2013
Pagerank
5.5181056e-05
Overall Rank
7,931 | 45.59%
DOI
10.1145/2463676.2463699

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{truong_sigmod13,
        title = {{MESSIAH: Missing Element-Conscious SLCA Nodes Search in XML Data}},
        author = {Truong, Ba Quan and Bhowmick, Sourav S and Dyreson, Curtis and Sun, Aixin},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2463699},
        url = {https://dl.acm.org/doi/10.1145/2463676.2463699},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,352 Querying Virtual Hierarchies using Virtual Prefix-Based Numbers 2014 SIGMOD 5.2831061e-05
11,185 Temporal JSON Keyword Search 2024 SIGMOD 5.093636e-05
12,134 TreeScope: Finding Structural Anomalies In Semi-Structured Data 2015 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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