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The TopX DB&IR Engine

Summary: Demo of TopX: unified indexing, querying, and ranking for heterogeneous data (unstructured, semistructured, structured). Unifies efficient top-k retrieval with text and XML scoring, plus dynamic, self-tuning query expansion driven by background ontologies. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3956
Venue
SIGMOD
Year
2007
Pagerank
4.1945683e-05
Overall Rank
12,455 | 13.36%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
7 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015496097
1,027 Accelerating XPath Location Steps 2002 SIGMOD 0.0001458865
1,808 Top-k Query Evaluation with Probabilistic Guarantees 2004 VLDB 0.00010486213
2,009 IO-Top-k: Index-access Optimized Top-k Query Processing 2006 VLDB 9.7977564e-05
3,044 An Efficient and Versatile Query Engine for TopX Search 2005 VLDB 7.6640252e-05
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