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)
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Authors
- 1. Martin Theobald
- 2. Ralf Schenkel
- 3. Gerhard Weikum
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015436578 |
| 1,028 | Accelerating XPath Location Steps | 2002 | SIGMOD | 0.00014578947 |
| 1,805 | Top-k Query Evaluation with Probabilistic Guarantees | 2004 | VLDB | 0.00010479371 |
| 2,014 | IO-Top-k: Index-access Optimized Top-k Query Processing | 2006 | VLDB | 9.7982231e-05 |
| 3,046 | An Efficient and Versatile Query Engine for TopX Search | 2005 | VLDB | 7.6586679e-05 |
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| 2,229 | The SphereSearch Engine for Unified Ranked Retrieval of Heterogeneous XML and Web Documents | 2005 | VLDB | 9.2422485e-05 |
| 8,051 | A TeXQuery-Based XML Full-Text Search Engine | 2004 | SIGMOD | 4.5926491e-05 |
| 3,046 | An Efficient and Versatile Query Engine for TopX Search | 2005 | VLDB | 7.6586679e-05 |