Database Paper Browser

Back to papers

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
4.4937074e-05
Overall Rank
8,554 | 40.50%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,253 Using XMorph to Transform XML Data 2010 VLDB 4.1945683e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers