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Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach

Summary: Introduces LSD, a semi-automatic data integration system that learns semantic mappings to a schema from seed mappings. It combines multiple learners—using schema, data, domain constraints, and XML structure—with a meta-learner to map sources. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3296
Venue
SIGMOD
Year
2001
Pagerank
0.00034571837
Overall Rank
207 | 98.57%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 52 citing papers.

Rank Citing Paper Year Venue Pagerank
12,555 SMART: A Tool for Semantic-Driven Creation of Complex XML Mappings 2005 SIGMOD 4.1905499e-05
12,642 Schema-driven Customization of Web Services 2003 VLDB 4.1905499e-05
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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.

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