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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
4632
Venue
SIGMOD
Year
2013
Pagerank
4.7180617e-05
Overall Rank
7,510 | 47.76%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,188 Querying Virtual Hierarchies using Virtual Prefix-Based Numbers 2014 SIGMOD 4.3770416e-05
10,972 Temporal JSON Keyword Search 2024 SIGMOD 4.1945683e-05
11,936 TreeScope: Finding Structural Anomalies In Semi-Structured Data 2015 VLDB 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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