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)
Incoming Non-self Citations Over Time
Authors
- 1. Octavian Udrea (University of Maryland)
- 2. Lise Getoor (University of Maryland)
- 3. Renée J. Miller (University of Toronto)
BibTeX Citation
@inproceedings{udrea_sigmod07,
title = {{Leveraging Data and Structure in Ontology Integration}},
author = {Udrea, Octavian and Getoor, Lise and Miller, Renée J.},
series = {{SIGMOD} '07},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1247480.1247531},
url = {https://dl.acm.org/doi/10.1145/1247480.1247531},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 22 | Data Integration: A Theoretical Perspective | 2002 | PODS | 0.00056204792 |
| 180 | Schema Mapping as Query Discovery | 2000 | VLDB | 0.00026772368 |
| 416 | Translating Web Data | 2002 | VLDB | 0.00018877803 |
| 1,158 | Schema and Ontology Matching with COMA++ | 2005 | SIGMOD | 0.00011899424 |
| 2,007 | Merging Models Based on Given Correspondences | 2003 | VLDB | 9.3144511e-05 |
| 2,842 | Incremental Schema Matching | 2006 | VLDB | 8.0624613e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,419 | Ontology-based Entity Matching in Attributed Graphs | 2019 | VLDB |
| 2 | 7,319 | AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies | 2009 | VLDB |
| 3 | 4,404 | Supporting Ontology-based Semantic Matching in RDBMS | 2004 | VLDB |
| 4 | 9,015 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB |
| 5 | 2,007 | Merging Models Based on Given Correspondences | 2003 | VLDB |
| 6 | 6,925 | A Gauss Function Based Approach for Unbalanced Ontology Matching | 2009 | SIGMOD |
| 7 | 13,328 | Agent-OM: Leveraging LLM Agents for Ontology Matching | 2025 | VLDB |
| 8 | 7,118 | Efficient Identification of Implicit Facts in Incomplete OWL2-EL Knowledge Bases | 2014 | VLDB |
| 9 | 11,876 | Datalignment: Ontology Schema Alignment Through Datalog Containment | 2019 | VLDB |
| 10 | 1,158 | Schema and Ontology Matching with COMA++ | 2005 | SIGMOD |