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: 4018
Venue: SIGMOD
Year: 2007
Pagerank: 5.093636e-05
Overall Rank: 12,649 | 13.22%
DOI: 10.1145/1247480.1247635

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Martin Theobald (Max Planck Institute)
2. Ralf Schenkel (Max Planck Institute)
3. Gerhard Weikum (Max Planck Institute)

BibTeX Citation

@inproceedings{theobald_sigmod07,
        title = {{The TopX DB\&IR Engine}},
        author = {Theobald, Martin and Schenkel, Ralf and Weikum, Gerhard},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247635},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247635},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

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
5	Optimal Aggregation Algorithms for Middleware [Extended Abstract]	2001	PODS	0.0010828372
893	Accelerating XPath Location Steps	2002	SIGMOD	0.00013374715
1,519	Top-k Query Evaluation with Probabilistic Guarantees	2004	VLDB	0.00010513777
1,967	IO-Top-k: Index-access Optimized Top-k Query Processing	2006	VLDB	9.3804693e-05
3,209	An Efficient and Versatile Query Engine for TopX Search	2005	VLDB	7.6357297e-05

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