Learning Statistical Models from Relational Data

Summary: Survey of Statistical Relational Learning (SRL) for databases; covers SRL concepts, relational feature construction, collective classification, and three SRL systems. Highlights DB applications (entity resolution, selectivity, information integration) and links SRL to probabilistic databases for query-time inference. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4531
Venue: SIGMOD
Year: 2011
Pagerank: 5.5025742e-05
Overall Rank: 8,036 | 44.87%
DOI: 10.1145/1989323.1989451

Incoming Non-self Citations Over Time

Authors

1. Lise Getoor (University of Maryland)
2. Lilyana Mihalkova (University of Maryland)

BibTeX Citation

@inproceedings{getoor_sigmod11,
        title = {{Learning Statistical Models from Relational Data}},
        author = {Getoor, Lise and Mihalkova, Lilyana},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989451},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989451},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
323	DeepDB: Learn from Data, not from Queries!	2020	VLDB	0.00021264788

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
2,460	Exploiting Shared Correlations in Probabilistic Databases	2008	VLDB	8.5505905e-05

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