Demo Data from VLDB 2026 / reviewers in the wild / expert
Ivan Panella
dblp:49/4951
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data integration and cleaning › enterprise information integration › enterprise data integration
data warehouse integration |
0.1 | 1 | 2006 | DaWaII: a Tool for the Integration of Autonomous Data Marts · ICDE 2006 |
Data integration and cleaning
schema integration |
0.1 | 1 | 2006 | DaWaII: a Tool for the Integration of Autonomous Data Marts · ICDE 2006 |
Data integration and cleaning › data warehouse
data warehouse architecture |
0.0 | 1 | 2006 | DaWaII: a Tool for the Integration of Autonomous Data Marts · ICDE 2006 |
Methods — techniques the papers use, named apart from their topics
dimensional schema matching · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | DaWaII: a Tool for the Integration of Autonomous Data MartsabstractDaWaII (Data Warehouse IntegratIon) is a tool supporting the various activities related to the integration of multidimensional data. This problem arises in common scenarios where there is the need to combine independently developed data warehouses. Actually, a today common practice for building a data warehouse is to develop a collection of integrated data marts, each of which provide a dimensional view of a single business process. These data marts should be based on shared dimensions but very often, even within the same company, designers develop their data marts independently and it turns out that their integration is a difficult task. Indeed, the problem arises in other common cases. For instance, when different companies get involved in a federated project or when there is the need to combine a proprietary data warehouse with external information, for instance, with multidimensional data wrapped from the Web. Luca Cabibbo, Ivan Panella, Riccardo Torlone |
ICDE | 2 |
| 2005 | Design and Development of a Tool for Integrating Heterogeneous Data Warehouses
Riccardo Torlone, Ivan Panella |
DaWaK | 2 |