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Leveraging Data and Structure in Ontology Integration

Summary: ILIADS jointly integrates data matching with logical reasoning to leverage both data and structure in ontologies. On 30 OWL Lite pairs, it outperforms FCA-merge (quality +25%) and COMA++ (recall +11%), highlighting the value of unified data-structure matching. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3873
Venue
SIGMOD
Year
2007
Pagerank
9.9662731e-05
Overall Rank
1,954 | 86.43%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
47 Data Integration: A Theoretical Perspective 2002 PODS 0.00069691761
174 Schema Mapping as Query Discovery 2000 VLDB 0.00038586435
480 Translating Web Data 2002 VLDB 0.00022166928
968 Schema and Ontology Matching with COMA++ 2005 SIGMOD 0.00014941789
1,689 Merging Models Based on Given Correspondences 2003 VLDB 0.00010895047
2,792 Incremental Schema Matching 2006 VLDB 8.1185188e-05
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