HIWAS: Enabling Technology for Analysis of Clinical Data in XML Documents

Summary: HIWAS structurally summarizes complex clinical XML collections, helping users locate relevant CDA information. It derives a purpose-specific target model that simplifies querying and enables conventional relational BI over extracted data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 10380
Venue: VLDB
Year: 2011
Pagerank: 5.093636e-05
Overall Rank: 12,387 | 15.02%
DOI: 10.14778/3402755.3402760

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Joshua Hui (IBM)
2. Sarah Knoop (IBM)
3. Peter Schwarz (IBM)

BibTeX Citation

@article{hui_vldb11,
        title = {{HIWAS: Enabling Technology for Analysis of Clinical Data in XML Documents}},
        author = {Hui, Joshua and Knoop, Sarah and Schwarz, Peter},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        pages = {1260--1263},
        doi = {10.14778/3402755.3402760},
        url = {https://doi.org/10.14778/3402755.3402760},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
48	DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases	1997	VLDB	0.00044033592
469	Clio Grows Up: From Research Prototype to Industrial Tool	2005	SIGMOD	0.00017973925

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