Exploiting Evidence from Unstructured Data to Enhance Master Data Management
Summary: Proposes a text-aware MDM architecture that uses unstructured evidence from emails and reports to boost entity resolution and relation discovery. Shows IBM InfoSphere MDM Extension for unstructured data, preserving trust and validating feasibility. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Karin Murthy
- 2. Prasad M Deshpande
- 3. Atreyee Dey
- 4. Mukesh Mohania
- 5. Deepak P
- 6. Ramanujam Halasipuram
- 7. Jennifer Reed
- 8. Scott Schumacher
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,833 | Data Wrangling: The Challenging Journey from the Wild to the Lake | 2015 | CIDR | 0.00010378976 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,151 | Efficiently Linking Text Documents with Relevant Structured Information | 2006 | VLDB | 9.4252167e-05 |
| 3,578 | Efficient Approximate Entity Extraction with Edit Distance Constraints | 2009 | SIGMOD | 6.9503858e-05 |
| 4,917 | Identity Resolution – 23 Years of Practical Experience and Observations at Scale | 2006 | SIGMOD | 5.8293862e-05 |
| 5,073 | Faerie: Efficient Filtering Algorithms for Approximate Dictionary-based Entity Extraction | 2011 | SIGMOD | 5.7177424e-05 |
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