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An Effective and Versatile Keyword Search Engine on Heterogenous Data Sources

Summary: EASE enables keyword search over heterogeneous data without requiring XPath/XQuery or SQL. Models data as graphs, builds compact graph indices, and uses an extended inverted index with a novel ranking for efficient, adaptive keyword retrieval. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9779
Venue
VLDB
Year
2008
Pagerank
4.3167828e-05
Overall Rank
9,590 | 33.35%
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
3,456 Keyword Search on Structured and Semi-Structured Data 2009 SIGMOD 7.0756309e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
73 XRANK: Ranked Keyword Search over XML Documents 2003 SIGMOD 0.0005840064
278 Efficient IR-Style Keyword Search over Relational Databases 2003 VLDB 0.00029322862
302 BLINKS: Ranked Keyword Searches on Graphs 2007 SIGMOD 0.00028343691
989 Efficient Keyword Search for Smallest LCAs in XML Databases 2005 SIGMOD 0.00014805498
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