@article {14384,
	title = {Structure discovery using statistical relational learning},
	journal = {Data Engineering},
	volume = {51},
	year = {2003},
	month = {2003///},
	pages = {10 - 10},
	abstract = {Statistical relational learning is a newly emerging area of machine learning that combines statisticalmodeling with relational representations. Here we argue that it provides a unified framework for the
discovery of structural information that can be exploited by a data management system. The categories
of structure that can be discovered include: instance-level dependencies and correlations, for example
intra-table column dependencies and inter-table join dependencies; record linkages and duplicates; and
schema matching and schema discovery from unstructured and semi-structured data.
},
	author = {Getoor, Lise}
}
