The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities
Summary: Introduces the Trento Big Data Platform as an information infrastructure for public administration and large enterprises, centered on collection, cleansing, integration, and analytics. Highlights regional collaboration (Trento RISE and dbTrento) to turn big data into value via a centralized platform for service innovation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Ivan Bedini
- 2. Benedikt Elser
- 3. Yannis Velegrakis
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,958 | Exemplar Queries: Give me an Example of What You Need | 2014 | VLDB | 9.9572632e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,687 | QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques | 2013 | VLDB | 0.00010916417 |
| 3,197 | A Probabilistic Optimization Framework for the Empty-Answer Problem | 2013 | VLDB | 7.3955829e-05 |
| 12,036 | A Query Answering System for Data with Evolution Relationships | 2013 | SIGMOD | 4.1945683e-05 |
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