The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities
Summary: Trento Big Data Platform is an open-source-minded stack for collecting, cleaning, integrating, and analyzing heterogeneous social-media and open-data streams. It unifies management, processing, BI, and presentation services for PA and enterprise use cases such as sentiment analysis and profiling. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Ivan Bedini (Trento RISE)
- 2. Benedikt Elser (Trento RISE)
- 3. Yannis Velegrakis (University of Trento)
BibTeX Citation
@article{bedini_vldb13,
title = {{The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities}},
author = {Bedini, Ivan and Elser, Benedikt and Velegrakis, Yannis},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {11},
pages = {1166},
doi = {10.14778/2536222.2536242},
url = {https://doi.org/10.14778/2536222.2536242},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,954 | Exemplar Queries: Give me an Example of What You Need | 2014 | VLDB | 9.31794e-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 |
|---|---|---|---|---|
| 1,921 | QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques | 2013 | VLDB | 9.3765039e-05 |
| 4,165 | A Probabilistic Optimization Framework for the Empty-Answer Problem | 2013 | VLDB | 6.7675283e-05 |
| 12,525 | A Query Answering System for Data with Evolution Relationships | 2013 | SIGMOD | 4.9793485e-05 |
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