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Search Driven Analysis of Heterogeneous XML Data

Summary: SEDA: a search-driven interactive system to explore heterogeneous XML via keyword queries and result summaries to discover attributes, dimensions, and facts. Maps query results to facts/dimensions, auto-derives a star schema and instantiates it for OLAP, enabling rapid prototyping without manual shredding. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
133
Venue
CIDR
Year
2009
Pagerank
5.3766157e-05
Overall Rank
8,757 | 39.92%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{balmin_cidr09,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '09},
        title = {{Search Driven Analysis of Heterogeneous XML Data}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Balmin, Andrey and Colby, Latha and Curtmola, Emiran and Li, Quanzhong and Özcan, Fatma},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,448 Using XMorph to Transform XML Data 2010 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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