Discovering Topical Structures of Databases

Summary: iDisc uses a multi-strategy learning approach over schemas and data to cluster tables by topic with representations and meta-clustering. Extensible, it adds aggregation, clusterer boosting, a table-importance measure, and representations for semantic browsing, with strong accuracy on databases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h60d1ffdaaf72a230
Venue: SIGMOD
Year: 2008
Pagerank: 6.6522847e-05
Overall Rank: 4,319 | 71.06%
DOI: 10.1145/1376616.1376717

Incoming Non-self Citations Over Time

Authors

1. Wensheng Wu (IBM)
2. Berthold Reinwald (IBM)
3. Yannis Sismanis (IBM)
4. Rajesh Manjrekar (IBM)

BibTeX Citation

@inproceedings{wu_sigmod08,
        title = {{Discovering Topical Structures of Databases}},
        author = {Wu, Wensheng and Reinwald, Berthold and Sismanis, Yannis and Manjrekar, Rajesh},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376717},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376717},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
520	Query by Output	2009	SIGMOD	0.00016910379
3,619	Summary Graphs for Relational Database Schemas	2011	VLDB	7.1360652e-05
11,120	Schuyler: Self-Supervised Clustering of Tables in Relational Databases	2026	VLDB	4.9605343e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
271	Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach	2001	SIGMOD	0.00022566676
435	Mining Database Structure; Or, How to Build a Data Quality Browser	2002	SIGMOD	0.00018277436
1,745	Schema Summarization	2006	VLDB	9.7195373e-05
1,979	Information-Theoretic Tools for Mining Database Structure from Large Data Sets	2004	SIGMOD	9.2615384e-05
2,305	GORDIAN: Efficient and Scalable Discovery of Composite Keys	2006	VLDB	8.6550507e-05
2,916	Incremental Schema Matching	2006	VLDB	7.8537021e-05

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